Within the COST Action FP1304 PROFOUND, we are developing a database that allows to test forest models against a wide range of observational data. This database will be part of a structured model comparison for several forest sites throughout Europe (10-15 forests) to unravel model uncertainties and to provide robust projections of climate change impacts. This model comparison should make use of the wide range of data types that have become available in recent years. We have therefore started compiling data from all kinds of sources in a database. However, in the long-term, the database is envisioned to be not only useful for the model comparison but to develop into a key benchmark dataset for forest models in general.
The database makes also use of data files that you have gratefully provided us with or that we have extracted from data repositories you are involved in. Our aim is to publish the database as part of a ”data paper for harmonized model evaluation” so that whenever a researcher wants to run a model, they could do so using the data as comprehensive test material. The added value of that database is that several data types are brought together (e.g. soil, tree, flux data, satellite and also climate data including scenarios etc…) and the data is harmonized as much as possible and prepared to be ready-to-use for modelers. We do not intend to replace larger database such as ICOS, Euroflux etc. but want provide a product targeted to modelers needs.
The PROFOUND database combines data from existing data sources which are either freely available or available after registration. The added value of the PROFOUND database resides in the combination, harmonization and preparation of the different data types for forest ecosystem modelers. Therefore, the license is for the database while the rights for the individual raw datasets reside with the actual data owners. The PROFOUND database is only redistributing the data.
This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license (CC BY 4.0). You are free to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially.
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Please cite the work as follows: Reyer, CPO et al. (2017) The PROFOUND database for evaluating forest models for climate impact assessments at the stand scale. Earth System Science Data XXX:XXX-XXX. License: Creative Commons Attribution 4.0 (CC BY 4.0).
Further data policy statements of the individual datasets contained in the PROFOUND database are listed in the table below.
| dataset | dataPolicy |
|---|---|
| CLIMATE_ISIMIP2B | Standard PROFOUND database policy |
| CLIMATE_ISIMIP2BLBC | Standard PROFOUND database policy |
| CLIMATE_ISIMIP2A | Standard PROFOUND database policy |
| CLIMATE_ISIMIPFT | Standard PROFOUND database policy |
| NDEPOSITION_EMEP | Please consider this data policy statement from EMEP: The Environment Agency - Austria allows the reproduction of its resources, with appropriate citation, for non-commercial purposes provided no other more specific rules apply. The officially reported emission data should be cited as: EMEP/CEIP 2014 Present state of emission data; http://www.ceip.at/webdab_emepdatabase/reported_emissiondata/ or http://www.ceip.at/status_reporting/2014_submissions/. |
| NDEPOSITION_ISIMIP2B | Standard PROFOUND database policy |
| CO2_ISIMIP | Standard PROFOUND database policy |
| ENERGYBALANCE | Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here. Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org). The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site. Every publication should use the standard FLUXNET acknowledgment given below. It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material. Finally, all data providers should be informed of forthcoming publications. |
| FLUX | Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here. Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org). The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site. Every publication should use the standard FLUXNET acknowledgment given below. It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material. Finally, all data providers should be informed of forthcoming publications. |
| METEOROLOGICAL | Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here. Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org). The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site. Every publication should use the standard FLUXNET acknowledgment given below. It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material. Finally, all data providers should be informed of forthcoming publications. |
| SOILTS | Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here. Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org). The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site. Every publication should use the standard FLUXNET acknowledgment given below. It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material. Finally, all data providers should be informed of forthcoming publications. |
| MODIS_MOD09A1 | When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD09A1 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-27, and subset size: 0.5 x 0.5 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD09A1 was (were) retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273 |
| MODIS_MOD11A2 | When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD11A2 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-03-05 to 2015-12-27, and subset size: 1 x 1 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD11A2 was (were) retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273 |
| MODIS_MOD13Q1 | When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD13Q1 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-19, and subset size: 0.25 x 0.25 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD13Q1 was retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273 |
| MODIS_MOD15A2 | When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD15A2 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-19, and subset size: 0.25 x 0.25 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD15A2 was retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273 |
| MODIS_MOD17A2 | When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD17A2 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-19, and subset size: 0.25 x 0.25 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD17A2 was retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273 |
| TREE | See site specific policy |
| STAND | See site specific policy |
| SOIL | See site specific policy |
| CLIMATE_LOCAL | See site specific policy |
The PROFOUND database is a relational SQLite database and it is made of several independent tables (see Fig. 1). From these tables many views are created that can be accessed and downloaded by users. We are also developing a R package to ease the queries of data from the database.
We have developed a R package to ease the queries of data from the database.
Both package and database are under development. The new database and package relases are published in the PROFOUND repository. Users with no Github access are welcome to join the Github repository.
Figure 1: Overview on the PROFOUND database and the R package.
The PROFOUND database includes 9 forest sites. They are listed in the table below.
| site_id | site | lat | lon | epsg | country | aspect_deg | elevation_masl | slope_percent |
|---|---|---|---|---|---|---|---|---|
| 3 | bily_kriz | 49.3 | 18.32 | 4326 | Czech Republic | 180 | 875 | 12.5 |
| 5 | collelongo | 41.85 | 13.59 | 4326 | Italy | 252 | 1560 | 10 |
| 12 | hyytiala | 61.85 | 24.3 | 4326 | Finland | 180 | 185 | 2 |
| 13 | kroof | 48.25 | 11.4 | 4326 | Germany | 1.8 | 502 | 2.1 |
| 14 | le_bray | 44.72 | -0.769 | 4326 | France | – | 61 | 0 |
| 16 | peitz | 51.92 | 14.35 | 4326 | Germany | – | 50 | 0 |
| 20 | solling_beech | 51.77 | 9.57 | 4326 | Germany | 225 | 504 | 1 |
| 21 | soro | 55.49 | 11.64 | 4326 | Denmark | – | 40 | 0 |
| 25 | solling_spruce | 51.77 | 9.58 | 4326 | Germany | 90 | 508 | 1 |
To provide the information on which data is available for each site, an overview table is created by combining all existing tables in the database.
| site_id | site | SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | bily_kriz | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 5 | collelongo | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12 | hyytiala | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 13 | kroof | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 14 | le_bray | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 16 | peitz | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 20 | solling_beech | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 21 | soro | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 25 | solling_spruce | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
The sites parameters were provided by the local site data responsibles. The sites variables that we included in the database are listed in the table below.
| variable | type | units | description |
|---|---|---|---|
| site | TEXT | adimensional | Site name |
| site2 | TEXT | adimensional | Additional site name |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| aspect_deg | REAL | degree | Direction of slope inclination. Degrees against North. No Value indicates no exposition. |
| country | TEXT | adimensional | Country |
| elevation_masl | REAL | m | Elevation above sea level as recorded by PI |
| epsg | INTEGER | adimensional | EPSG Coordinate System |
| lat | REAL | degree decimal | Latitude |
| lon | REAL | degree decimal | Longitude |
| natVegetation_code1 | TEXT | adimensional | Code of the vegetation mapping unit group in the “Map of the Natural Vegetation of Europe”. BOHN, U.; GOLLUB, G. & HETTWER, C. (2000) Karte der natuerlichen Vegetation Europas. Massstab 1:2.500.000 Karten und Legende. Teil 1-3.. Bundesamt fuer Naturschutz, Bonn, Germany. |
| natVegetation_code2 | TEXT | adimensional | Code of the vegetation mapping unit in the “Map of the Natural Vegetation of Europe”. BOHN, U.; GOLLUB, G. & HETTWER, C. (2000) Karte der natuerlichen Vegetation Europas. Massstab 1:2.500.000 Karten und Legende. Teil 1-3.. Bundesamt fuer Naturschutz, Bonn, Germany. |
| natVegetation_description | TEXT | adimensional | Description of natVegetation_code2. BOHN, U.; GOLLUB, G. & HETTWER, C. (2000) Karte der natuerlichen Vegetation Europas. Massstab 1:2.500.000 Karten und Legende. Teil 1-3.. Bundesamt fuer Naturschutz, Bonn, Germany. |
| slope_percent | REAL | percent | Mean slope within the plot |
The sites description were provided by the local site data responsibles. The site description variables that we included in the database are listed in the table below.
| variable | type | units | description |
|---|---|---|---|
| site | TEXT | adimensional | Site name |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| description | TEXT | adimensional | Ecological description of the site |
| reference | TEXT | adimensional | Publications referring to the site description and the site datasets |
The individual tree data were provided by the local site data responsibles. The tree level variables that we included in the database are listed in the table below.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site | TEXT | adimensional | Site name |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| species | TEXT | adimensional | Species name |
| species_id | TEXT | adimensional | Species text code |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) |
| dbh1_cm | REAL | cm | Diameter at breast height |
| height1_m | REAL | m | Tree height |
| size_m2 | REAL | m2 | Plot size |
The stand data were provided by the local site data responsibles. In some cases, the data were derived using the function summarizeData included in this package. The stand variables that we included in the database are listed in the table below.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site | TEXT | adimensional | Site name |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| species | TEXT | adimensional | Species name |
| species_id | TEXT | adimensional | Species text code |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) |
| aboveGroundBiomass_kgha | REAL | kg ha-1 | Above ground biomass |
| age | INTEGER | years | Mean stand age |
| ba_m2ha | REAL | m2 ha-1 | Basal area per hectare |
| branchesBiomass_kgha | REAL | kg ha-1 | Branches biomass |
| dbhArith_cm | REAL | cm | Arithmetic mean diameter |
| dbhBA_cm | REAL | cm | Average diameter weighted by basal area calculated as dbhBA = (ba1dbh1 + ba2dbh2 + … + bak*dbhk) / (ba1 + ba2+ … + bak), where bai and dbhi are the basal area and dbh, respectively, of the tree i, and i = 1, 2, . . , k |
| dbhDQ_cm | REAL | cm | Mean squared diameter or quadratic mean diameter calculated as dbhDQ = sqrt( (dbh12 + dbh22+ … + dbhk^2) / N), where dbhi is the diameter at breat height of tree i, i = 1, 2, . . , k, N is the total number of trees, and sqrt is the square root |
| density_treeha | REAL | tree ha-1 | Number of tree per ha |
| foliageBiomass_kgha | REAL | kg ha-1 | Foliage biomass |
| heightArith_m | REAL | m | Arithmetic mean height |
| heightBA_m | REAL | m | Average height weighted by basal area or Loreys height calculated as heightBA = (ba1h1 + ba2h2 + … + bak*hk) / (ba1 + ba2+ … + bak), where bai and hi are the basal area and height, respectively, of the tree i, and i = 1, 2, . . , k |
| lai | REAL | adimensional | Leaf Area Index |
| rootBiomass_kgha | REAL | kg ha-1 | Root biomass |
| stemBiomass_kgha | REAL | kg ha-1 | Stem biomass |
| stumpCoarseRootBiomass_kgha | REAL | kg ha-1 | Stump and coarse roots biomass |
The soil data were provided by the local site data responsibles. The variables that we included in the database are listed in the table below. The data is very heteregenous, therefore not all variables are available for each site.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site | TEXT | adimensional | Site name |
| site_id | INTEGER | adimensional | Site code as decimal number (1-99) |
| date | TEXT | adimensional | Unformatted date of inventory as provided for the inventory. See site specific metadata for further information on date. |
| bs_percent | REAL | percent | Percentage of alkaline and earth alkaline metals at CEC |
| cMax_percent | REAL | percent | Maximum soil carbon content |
| cMin_percent | REAL | percent | Minimum soil carbon content |
| cOrgSigma_percent | REAL | percent | Soil organic carbon content error estimate as standard deviation |
| cOrg_gcm3 | REAL | g cm-3 | Soil organic carbon content |
| cOrg_percent | REAL | percent | Soil organic carbon content |
| cSigma_kgm2 | REAL | kg m-2 | Soil carbon content error estimate as standard deviation |
| c_kgm2 | REAL | kg m-2 | Soil carbon content |
| c_percent | REAL | percent | Soil carbon content |
| cec_µeqg | REAL | µeq g-1 | Soil cation exchange capacity |
| claySigma_percent | REAL | percent | Soil clay particle content error estimate as standard deviation |
| clay_percent | REAL | percent | Soil clay particle content |
| cn | REAL | adimensional | Soil C:N ratio |
| densitySigma_gcm3 | REAL | g cm-3 | Soil bulk density content error estimate as standard deviation |
| density_gcm3 | REAL | g cm-3 | Soil bulk density |
| fcapv_percent | REAL | percent | Soil field capacity |
| fineRoot_percent | REAL | percent | Distribution of fine roots accross soil horizons |
| gravel_percent | REAL | percent | Soil gravel particle content |
| horizon | TEXT | adimensional | Name of soil horizon |
| humus_tCha | REAL | tC ha-1 | Humus carbon content |
| hydCondSat_cmd1 | REAL | cm d-1 | Soil hydraulic conductivity at saturation |
| layer_id | INTEGER | adimensional | Layer code as decimal number (1-99) |
| lowerDepth_cm | REAL | cm | Lower soil horizon limit |
| mbCSigma_mgg | REAL | mg C g-1 dry soil | Soil microbial biomass carbon error estimate as standard deviation |
| mbC_mgg | REAL | mg C g-1 dry soil | Soil microbial biomass carbon |
| mbNSigma_mgNg | REAL | mg N g-1 dry soil | Soil microbial biomass nitrogen error estimate as standard deviation |
| mbN_mgNg | REAL | mg N g-1 dry soil | Soil microbial biomass nitrogen |
| minRSigma_mgkgh | REAL | mg N kg-1 h-1 | Soil mineralisation rate error estimate as standard deviation |
| minR_mgkgh | REAL | mg N kg-1 h-1 | Soil mineralisation rate |
| nMax_percent | REAL | percent | Maximum soil nitrogen content |
| nMin_percent | REAL | percent | Minimum soil nitrogen content |
| nOrgSigma_percent | REAL | percent | Soil organic nitrogen content error estimate as standard deviation |
| nOrg_percent | REAL | percent | Soil organic nitrogen content |
| n_kgm2 | REAL | kg m-2 | Soil nitrogen content |
| n_percent | REAL | percent | Soil nitrogen content |
| ofhC_percent | REAL | percent | The organic fermentative-humic (Ofh) subhorizon consists of forest litter (leaves, bark, twigs etc) showing considerable decay. |
| ofhN_percent | REAL | percent | Carbon content in a gram of OFH sample |
| ofh_gDWm2 | REAL | g DW m-2 | Litter layer (leaves not decomposed) |
| ol_gDWm2 | REAL | g DW m-2 | Nitrogen content in a gram of OFH sample |
| phSigma_h2o | REAL | adimensional | Soil pH determined with H2O error estimate as standard deviation |
| phSigma_kcl | REAL | adimensional | Soil pH determined by KCl error estimate as standard deviation |
| ph_cacl2 | REAL | adimensional | Soil pH determined with CaCl2 |
| ph_h2o | REAL | adimensional | Soil pH determined with H2O |
| ph_kcl | REAL | adimensional | Soil pH deterimed with KCl |
| porosity_percent | REAL | percent | Soil water content at saturation in the bulk soil |
| rainGroundWater | REAL | adimensional | Whether the soil is mostly influenced by rain or ground water |
| sandSigma_percent | REAL | percent | Soil sand particle content error estimate as standard deviation |
| sand_percent | REAL | percent | Soil sand particle content |
| siltSigma_percent | REAL | percent | Soil silt particle content error estimate as standard deviation |
| silt_percent | REAL | percent | Soil silt particle content |
| table_id | INTEGER | adimensional | Table code as decimal number (1-99) |
| texture | TEXT | adimensional | Soil texture |
| thicknesSigma_cm | REAL | cm | Soil thickness error estimate |
| thickness_cm | REAL | cm | Soil thickness |
| type_fao | TEXT | adimensional | Soil type after ISSS-ISRIC-FAO (1998) World reference basis for soil resources. World Soil Resources Reports 84. FAO, Rome. 92 p. |
| type_ka5 | TEXT | adimensional | Soil type after AG Boden (2005) Bodenkundliche Kartieranleitung. Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover |
| upperDepth_cm | REAL | cm | Upper soil horizon limit |
| whcSigma_mm | REAL | mm | Soil water holding capacity error estimate |
| whc_mm | REAL | mm | Soil water holding capacity |
| whcp_percent | REAL | percent | Water holding capacity for plant available water |
| wiltp_percent | REAL | percent | Soil wilting point |
The climate data contains daily measurements of the following variables: min, max and mean temperature, precipitation, relative humidity, air pressure, global radiation and wind speed.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site | TEXT | adimensional | Site name |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| date | TEXT | adimensional | Date in format YYYY-MM-DD |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) |
| mo | INTEGER | MM | Month as decimal number (01-12) |
| day | INTEGER | DD | Day of the month as decimal number (01-31) |
| airpress_hPa | REAL | hPa | Mean daily air pressure |
| p_mm | REAL | mm | Total daily precipitation |
| rad_Jcm2day | REAL | J cm-2 day-1 | Total daily global radiation |
| relhum_percent | REAL | percent | Mean daily relative humidity |
| tmax_degC | REAL | degree Celsius | Maximum daily temperature |
| tmean_degC | REAL | degree Celsius | Mean daily temperature |
| tmin_degC | REAL | degree Celsius | Minimum daily temperature |
| wind_ms | REAL | m s-1 | Mean daily wind speed |
The CLIMATE LOCAL data refers to climate data measured at each forest site or meteorological stations close to the location of the forest site. For those forest sites for which the data has been derived from half-hourly FLUXNET2015 data, we also provide the original half-hourly data in the table METEOROLOGICAL.
When relative humidity was not part of the original data, we calculated it from the vapour pressure deficit and the daily temperatures as
\[ relhum\_percent = (1 - VPD\_F / es)*100 \]
where
\[ es = (es(tmax\_degC) - es(tmin\_degC))/2 \]
and
\[ es(Ta) = 0.6108e^{(17.27*Ta)/ (Ta + 237.3)} \] Besides the variables listed in Table 9, the CLIMATE_LOCAL dataset contains additional variables to indicate the data quality.
| variable | type | units | description |
|---|---|---|---|
| site | TEXT | adimensional | Site name |
| airpress_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| p_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| rad_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| relhum_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| tmax_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| tmean_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| tmin_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
| wind_qc | REAL | adimensional | fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value |
There are several climatic datasets based on the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). For each forest site, we extracted the climate data from the corresponding gridcell in the ISIMIP data.
CLIMATE_ISIMIPFT: Based on climate data described here: Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., Schewe, (2013) The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), Proceedings of the National Academy of Sciences,111,9, 3228-3232. doi:10.1073/pnas.1312330110, https://www.isimip.org/gettingstarted/#input-data-bias-correction
CLIMATE_ISIMIP2A: Based on climate data described here: https://www.isimip.org/gettingstarted/#input-data-bias-correction
CLIMATE_ISIMIP2B: Based on climate data described here: Frieler K., R. Betts, E. Burke, P. Ciais, S. Denvil, D. Deryng, K. Ebi, T. Eddy, K. Emanuel, J. Elliott, E. Galbraith, S.N. Gosling, K. Halladay, F. Hattermann, T. Hickler, J. Hinkel, V. Huber, C. Jones, V. Krysanova, S. Lange, H.K. Lotze, H. Lotze-Campen, M. Mengel, I. Mouratiadou, H. Müller Schmied, S. Ostberg, F. Piontek, A. Popp, C.P.O. Reyer, J. Schewe, M. Stevanovic, T. Suzuki, K. Thonicke, H. Tian, D.P. Tittensor, R. Vautard, M. van Vliet, L. Warszawski, F. Zhao (accepted pending revisions) Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development (https://www.isimip.org/gettingstarted/#input-data-bias-correction)
CLIMATE_ISIMIP2BLBC: Based on climate data described here: Frieler K, R Betts, E Burke, P Ciais, S Denvil, D Deryng, K Ebi, T Eddy, K Emanuel, J Elliott, E Galbraith, SN Gosling, K Halladay, F Hattermann, T Hickler, J Hinkel, V Huber, C Jones, V Krysanova, S Lange, HK Lotze, H Lotze-Campen, M Mengel, I Mouratiadou, H Müller Schmied, S Ostberg, F Piontek, A Popp, CPO Reyer, J Schewe, M Stevanovic, T Suzuki, K Thonicke, H Tian, DP Tittensor, R Vautard, M van Vliet, L Warszawski, F Zhao (accepted pending revisions) Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development, https://www.isimip.org/gettingstarted/#input-data-bias-correction
ISIMIP climatic datasets contain additionally one or both of these variables
| variable | type | units | description |
|---|---|---|---|
| site | TEXT | adimensional | Site name |
| forcingConditions | TEXT | adimensional | This category refers to the conditions underlying the climatic forcing, e.g. following historical CO2 time series, preindustrial picontrol runs or representative concentration pathways (rcp). |
| forcingDataset | TEXT | adimensional | This category refers to data taken from bias-corrected general circulation models (e.g. hadgem) or historical global meteorological forcing data based on bias-corrected reanalysis data (e.g. watch) |
The nitrogen deposition data contain yearly measurements of the variables listed in the table below.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site | TEXT | adimensional | Name of the site |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) |
| nhx_gm2 | REAL | g m-2 | Total deposition of reduced nitrogen (Dry+Wet RdN) |
| noy_gm2 | REAL | g m-2 | Total deposition of oxidized nitrogen (Dry+Wet oxN) |
The NDEPOSITION_EMEP data were obtained from EMEP/CEIP 2014 Present state of emissions as used in EMEP models (http://www.ceip.at/webdab_emepdatabase/emissions_emepmodels/)
The NDEPOSITION_EMEP data were extracted for for each forest site from the corresponding gridcell in the ISIMIP data described in Frieler K., R. Betts, E. Burke, P. Ciais, S. Denvil, D. Deryng, K. Ebi, T. Eddy, K. Emanuel, J. Elliott, E. Galbraith, S.N. Gosling, K. Halladay, F. Hattermann, T. Hickler, J. Hinkel, V. Huber, C. Jones, V. Krysanova, S. Lange, H.K. Lotze, H. Lotze-Campen, M. Mengel, I. Mouratiadou, H. Müller Schmied, S. Ostberg, F. Piontek, A. Popp, C.P.O. Reyer, J. Schewe, M. Stevanovic, T. Suzuki, K. Thonicke, H. Tian, D.P. Tittensor, R. Vautard, M. van Vliet, L. Warszawski, F. Zhao (accepted pending revisions) Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development (https://www.isimip.org/gettingstarted/#input-data-bias-correction). The dataset contains additionally the variable forcingConditions.
| variable | type | units | description | source |
|---|---|---|---|---|
| forcingConditions | TEXT | adimensional | This category refers to the conditions underlying the climatic forcing, e.g. following historical CO2 time series, preindustrial picontrol runs or representative concentration pathways (rcp). | ISIMIP |
The CO2 dataset contains yearly global concentrations of atmospheric CO2 for several forcing conditions.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site | TEXT | adimensional | Site name |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| forcingConditions | TEXT | adimensional | This category refers to the conditions underlying the climatic forcing, e.g. following historical CO2 time series or representative concentration pathways (rcp). |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) |
| co2_ppm | REAL | ppm | CO2 mean global concentrations for the different different forcing conditions: RCP and historical values (1975-2013) |
The ENERGYBALANCE data contains half-hourly measurements of the variables listed in the table below and was obtained from FLUXNET2015 data.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| date | TEXT | adimensional | Date in format YYYY-MM-DD hh:mm:ss. Derived from TIMESTAMP_START |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999). Derived from TIMESTAMP_START |
| mo | INTEGER | MM | Month as decimal number (01-12). Derived from TIMESTAMP_START |
| day | INTEGER | DD | Day of the month as decimal number (01-31). Derived from TIMESTAMP_START |
| hCORRJOINTUNC_Wm2 | REAL | W m-2 | Joint uncertainty estimation for h as sqrt(hRANDUNC2 + ((hCORR75 - hCORR25) / 1.349)2) |
| hCORR_Wm2 | REAL | W m-2 | Sensible heat flux, corrected hFMDS by energy balance closure correction factor |
| hFMDS_Wm2 | REAL | W m-2 | Sensible heat flux, gapfilled using MDS method |
| hFMDS_qc | INTEGER | adimensional | Quality flag for hCORR. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| leCORRJOINTUNC_Wm2 | REAL | W m-2 | Joint uncertainty estimation for le |
| leCORR_Wm2 | REAL | W m-2 | Latent heat flux, corrected le_FMDS by energy balance closure correction factor |
| leFMDS_Wm2 | REAL | W m-2 | Latent heat flux, gapfilled using MDS method |
| leFMDS_qc | INTEGER | adimensional | Quality flag for leCORR. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| timestampEnd | TEXT | YYYYMMDDHHMM | ISO timestamp end of averaging period - short format |
| timestampStart | TEXT | YYYYMMDDHHMM | ISO timestamp start of averaging period - short format |
The energy balance data contains half-hourly measurements of the variables listed in the table below and was obtained from FLUXNET2015 data.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| date | TEXT | adimensional | Date in format YYYY-MM-DD hh:mm:ss. Derived from TIMESTAMP_START |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999). Derived from TIMESTAMP_START |
| mo | INTEGER | MM | Month as decimal number (01-12). Derived from TIMESTAMP_START |
| day | INTEGER | DD | Day of the month as decimal number (01-31). Derived from TIMESTAMP_START |
| gppDtCutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Gross Primary Production, from Daytime partitioning method, reference selected from GPP versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version |
| gppDtCutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Gross Primary Production, calculated as stdev(gppDtCut_XX) / sqrt(40). SE from 40 half-hourly gppDtCut_XX |
| gppDtVutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Gross Primary Production, from Daytime partitioning method, reference version selected from GPP versions using a model efficiency approach. Based on corresponding neeVut_XX version |
| gppDtVutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Gross Primary Production, calculated as stdev(gppDtVut_XX) / sqrt(40. SE from 40 half-hourly gppDtVut_XX |
| gppNtCutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Gross Primary Production, from Nighttime partitioning method, reference selected from GPP versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version |
| gppNtCutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Gross Primary Production, calculated as stdev(gppNtCut_XX) / sqrt(40). SE from 40 half-hourly gppNtCut_XX |
| gppNtVutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Gross Primary Production, from Nighttime partitioning method, reference version selected from GPP versions using a model efficiency approach. Based on corresponding neeVut_XX version |
| gppNtVutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Gross Primary Production, calculated as (stdev(gppNtVut_XX) / sqrt(40)). SE from 40 half-hourly gppNtVut_XX |
| neeCutRefJointunc_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Joint uncertainty estimation for neeCutRef, including random uncertainty and USTAR filtering uncertainty [sqrt(neeCutRef_RANDUNC2 + ((NEE_CUT_84 - NEE_CUT_16) / 2)2)] for each half-hour |
| neeCutRef_qc | INTEGER | adimensional | Quality flag for neeCutRef. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| neeCutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Net Ecosystem Exchange, using Constant Ustar Threshold (CUT) across years, reference selected on the basis of the model efficiency |
| neeVutRefJointunc_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Joint uncertainty estimation for neeVutRef, including random uncertainty and USTAR filtering uncertainty [sqrt(neeVutRef_RANDUNC2 + ((neeVut_84 - neeVut_16) / 2)2)] for each half-hour |
| neeVutRef_qc | INTEGER | adimensional | Quality flag for neeVutRef. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| neeVutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, reference selected on the basis of the model efficiency |
| recoDtCutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version |
| recoDtCutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Ecosystem Respiration, calculated as stdev(recoDtCut_XX) / sqrt(40). SE from 40 half-hourly recoDtCut_XX |
| recoDtVutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding neeVut_XX version |
| recoDtVutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Ecosystem Respiration, calculated as stdev(recoDtVut_XX) / sqrt(40). SE from 40 half-hourly recoDtCut_XX |
| recoNtCutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Ecosystem Respiration, from Nighttime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version |
| recoNtCutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Ecosystem Respiration, calculated as stdev(recoNtCut_XX) / sqrt(40. SE from 40 half-hourly recoNtCut_XX |
| recoNtVutRef_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Ecosystem Respiration, from Nighttime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding neeVut_XX version |
| recoNtVutSe_umolCO2m2s1 | REAL | umolCO2 m-2 s-1 | Standard Error for Ecosystem Respiration, calculated as stdev(recoNtVut_XX) / sqrt(40. SE from 40 half-hourly recoNtCut_XX |
| timestampEnd | TEXT | YYYYMMDDHHMM | ISO timestamp end of averaging period - short format |
| timestampStart | TEXT | YYYYMMDDHHMM | ISO timestamp start of averaging period - short format |
The soil time series data contains half-hourly measurements of the variables listed in the table below and was obtained from FLUXNET2015 data.
| variable | type | units | description |
|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) |
| date | TEXT | adimensional | Date in format YYYY-MM-DD hh:mm:ss. Derived from TIMESTAMP_START |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999). Derived from TIMESTAMP_START |
| mo | INTEGER | MM | Month as decimal number (01-12). Derived from TIMESTAMP_START |
| day | INTEGER | DD | Day of the month as decimal number (01-31). Derived from TIMESTAMP_START |
| timestampEnd | TEXT | YYYYMMDDHHMM | ISO timestamp end of averaging period - short format |
| timestampStart | TEXT | YYYYMMDDHHMM | ISO timestamp start of averaging period - short format |
| swcFMDS1_degC | REAL | percent | Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| swcFMDS1_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| swcFMDS2_degC | REAL | percent | Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| swcFMDS2_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| swcFMDS3_degC | REAL | percent | Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| swcFMDS3_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| swcFMDS4_degC | REAL | percent | Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| swcFMDS4_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| swcFMDS5_degC | REAL | percent | Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| swcFMDS5_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| tsFMDS1_degC | REAL | degree Celsius | Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| tsFMDS1_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| tsFMDS2_degC | REAL | degree Celsius | Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| tsFMDS2_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| tsFMDS3_degC | REAL | degree Celsius | Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| tsFMDS3_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| tsFMDS4_degC | REAL | degree Celsius | Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| tsFMDS4_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
| tsFMDS5_degC | REAL | degree Celsius | Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest) |
| tsFMDS5_qc | INTEGER | adimensional | Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor. |
The original MODIS time series are available at the NASA Land Processes Distributed Archive Center (LP DAAC). The data were downloaded from the Land Product Subset web service of the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). Five different datasets are included in the database:
The data comprise surface reflectance, land surface temperature, vegetation indexes, Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR), GPP and Net Photosynthesis. The MODIS variables are listed the table below.
| variable | type | units | description | source |
|---|---|---|---|---|
| record_id | INTEGER | adimensional | Record ID as decimal number | MOD09A1 |
| site | TEXT | adimensional | Site name | MOD09A1 |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) | MOD09A1 |
| date | TEXT | adimensional | Date in format YYYY-MM-DD | MOD09A1 |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) | MOD09A1 |
| mo | INTEGER | MM | Month as decimal number (01-12) | MOD09A1 |
| day | INTEGER | DD | Day of the month as decimal number (01-31) | MOD09A1 |
| aB01_rad | REAL | radian | Angle in red. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| aB02_rad | REAL | radian | Angle in near infrared. Calculated with MOD09A1. Spatial resolution 0.5 km | MOD09A1 |
| aB05_rad | REAL | radian | Angle in SWIR 1.Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| aB06_rad | REAL | radian | Angle in SWIR 2. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| evi8 | REAL | adimensional | Enhance Vegetation Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite | MOD09A1 |
| ndvi8 | REAL | adimensional | Normalized Difference Vegetation Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite | MOD09A1 |
| ndwi | REAL | adimensional | Normalized Difference Water Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite | MOD09A1 |
| reflB01_percent | REAL | percent reflectance | Surface Reflectance Band 1 (620–670 nm) Red. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| reflB02_percent | REAL | percent reflectance | Surface Reflectance Band 2 (841–876 nm) NIR. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| reflB03_percent | REAL | percent reflectance | Surface Reflectance Band 3 (459–479 nm) Blue. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| reflB04_percent | REAL | percent reflectance | Surface Reflectance Band 4 (545–565 nm) Green. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| reflB05_percent | REAL | percent reflectance | Surface Reflectance Band 5 (1230–1250 nm) SWIR1. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| reflB06_percent | REAL | percent reflectance | Surface Reflectance Band 6 (1628–1652 nm) SWIR2. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| reflB07_percent | REAL | percent reflectance | Surface Reflectance Band 7 (2105–2155 nm) SWIR3. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| refl_qc | INTEGER | adimensional | Indicates the level of quality correction of the product (the seven bands) that is classified as follows: 0 = Highest quality, corrected product produced at ideal quality all bands; 2 = corrected product produced at less than ideal quality some or all bands, some bands could not be completely correct; 3 = interpolated, when corrected product has not been produced in one or some bands and they have been interpolated with the value Rt = (Rt-1 + Rt+1)/2; 4 = corrected product not produced, when product has not been completely corrected in one or some bands and could not be interpolated. Data may be wrong or filled with NA; 5 = Missing data, indicates that the product was not available for that date. Some of them correspond to specific continuous periods. All the columns filled with NA. | MOD09A1 |
| sani_rad | REAL | radian | Shortwave Angle Normalized Index. Valid range: -3.14 - 3.14. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. | MOD09A1 |
| sasi_rad | REAL | radian | Shortwave Angle Slope Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite | MOD09A1 |
| record_id | INTEGER | adimensional | Record ID as decimal number | MOD15A2 |
| site | TEXT | adimensional | Site name | MOD15A2 |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) | MOD15A2 |
| date | TEXT | adimensional | Date in format YYYY-MM-DD | MOD15A2 |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) | MOD15A2 |
| mo | INTEGER | MM | Month as decimal number (01-12) | MOD15A2 |
| day | INTEGER | DD | Day of the month as decimal number (01-31) | MOD15A2 |
| fpar | REAL | adimensional | Proportion of available radiation in the photosynthetically active wavelengths. Valid range: 0 - 1. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. | MOD15A2 |
| fpar_qc | INTEGER | adimensional | Indicates the level of the product quality that is classified as follows: 0 = Good quality (main algorithm with or without saturation); 2 = Other quality (back-up algorithm or fill values) | MOD15A2 |
| lai | REAL | adimensional | Leaf area index. Valid range: 0 - 10. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. | MOD15A2 |
| lai_qc | INTEGER | adimensional | Indicates the level of the product quality that is classified as follows: 0 = Good quality (main algorithm with or without saturation); 2 = Other quality (back-up algorithm or fill values) | MOD15A2 |
| record_id | INTEGER | adimensional | Record ID as decimal number | MOD11A2 |
| site | TEXT | adimensional | Site name | MOD11A2 |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) | MOD11A2 |
| date | TEXT | adimensional | Date in format YYYY-MM-DD | MOD11A2 |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) | MOD11A2 |
| mo | INTEGER | MM | Month as decimal number (01-12) | MOD11A2 |
| day | INTEGER | DD | Day of the month as decimal number (01-31) | MOD11A2 |
| lstDay_degK | REAL | degree Kelvin | Daytime land surface temperature. Valid range: 150 – 1310.7. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. | MOD11A2 |
| lstDay_qc | INTEGER | adimensional | Indicates the level of quality of the product that is classified as follows: 0 = good quality; 2 = other quality; 3 = interpolated, 4 = pixel not produced (NA) | MOD11A2 |
| lstNight_degK | REAL | degree Kelvin | Nighttime land surface temperature. Valid range: 150 – 1310.7. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. | MOD11A2 |
| lstNight_qc | INTEGER | adimensional | Indicates the level of quality of the product that is classified as follows: 0 = good quality; 2 = other quality; 3 = interpolated, 4 = pixel not produced (NA) | MOD11A2 |
| record_id | INTEGER | adimensional | Record ID as decimal number | MOD13Q1 |
| site | TEXT | adimensional | Site name | MOD13Q1 |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) | MOD13Q1 |
| date | TEXT | adimensional | Date in format YYYY-MM-DD | MOD13Q1 |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) | MOD13Q1 |
| mo | INTEGER | MM | Month as decimal number (01-12) | MOD13Q1 |
| day | INTEGER | DD | Day of the month as decimal number (01-31) | MOD13Q1 |
| evi16 | REAL | adimensional | Enhanced Vegetation Index. Valid range: -0.2 - 1. Fill value: NA. Spatial resolution: 250 meters. Temporal resolution: 16-day composite. | MOD13Q1 |
| evi16_qc | REAL | adimensional | Indicates the level of the product quality that is classified as follows: 0 = good quality, index produced; 2 = other quality, index produced, but check other qc and index produced, but most probably cloudy; 3 = index not produced due to other reasons than cloud, thus fill values were substituted by an interpolated values when the previous and the following values were available index = (indext-1 + indext+1)/2. | MOD13Q1 |
| ndvi16 | REAL | adimensional | Normalized Difference Vegetation Index. Valid range: -0.2 - 1. Fill value: NA. Spatial resolution: 250 meters. Temporal resolution: 16-day composite. | MOD13Q1 |
| ndvi16_qc | REAL | adimensional | Indicates the level of the product quality that is classified as follows: 0 = good quality, index produced; 2 = other quality, index produced, but check other qc and index produced, but most probably cloudy; 3 = index not produced due to other reasons than cloud, thus fill values were substituted by an interpolated values when the previous and the following values were available index = (indext-1 + indext+1)/2. | MOD13Q1 |
| record_id | INTEGER | adimensional | Record ID as decimal number | MOD17A2 |
| site | TEXT | adimensional | Site name | MOD17A2 |
| site_id | INTEGER | adimensional | Site code as decimal number (01-99) | MOD17A2 |
| date | TEXT | adimensional | Date in format YYYY-MM-DD | MOD17A2 |
| year | INTEGER | YYYY | Year with century as decimal number (0000-9999) | MOD17A2 |
| mo | INTEGER | MM | Month as decimal number (01-12) | MOD17A2 |
| day | INTEGER | DD | Day of the month as decimal number (01-31) | MOD17A2 |
| gpp_gCm2d | REAL | gC m-2 d | Gross Primary Production. Valid range: -375 – 375. Fill value: NA. Spatial resolution 1 km. Temporal resolution: 8-day accumulation. | MOD17A2 |
| gpp_qc | INTEGER | adimensional | Indicates the level of the product quality that is classified as follows: 0 = good quality, the estimates were done using the main algorithm with or without saturation; 2 = other quality, the estimates were done using back-up algorithm. | MOD17A2 |
| psNet_gCm2d | REAL | gC m-2 d | Net Photosynthesis (GPP – maintenance respiration). Valid range: -375 – 375. Fill value: NA. Spatial resolution 1 km. Temporal resolution: 8-day accumulation. | MOD17A2 |
| psNet_qc | INTEGER | adimensional | Indicates the level of the product quality that is classified as follows: 0 = good quality, the estimates were done using the main algorithm with or without saturation; 2 = other quality, the estimates were done using back-up algorithm. | MOD17A2 |
The Bily Kriz site belongs to the ICP Forests Level II network and is a Fluxnet site located in the Moravian-Silesian Beskydy Mts, Czech Republic, at an altitude of 875 m.a.s.l. The climate is temperate with an annual mean temperature of 7.4°C and an annual precipitation sum of 1434 mm over the 2000-2008 period. The soil is classified as a Haplic Podzol. The site is typical for mountain regions of temperate Europe such as the Black Forest, Bohemian Forest Sumava and forested Carpathians (Hercynian (spruce-)fir-beech forests) but also the higher mountain belts in the (sub-)mediterranean. Stand forming tree species for such sites are Fagus sylvatica, Abies alba, and Picea abies. Currently, a large part of mixed mountain forests are strongly managed for timber production. The main tree species occurring in Bily Kriz are Picea abies rarely with small proportion of Fagus sylvatica. The stand data represent an (even-aged) Picea abies monoculture with a mean DBH of 19 cm (year 2015). The potential vegetation belongs to the Geobiocoene type groups: Abieti-fageta (5AB3) - Abies alba Mill. + Fagus sylvatica L. with understory: Calamagrostis arundinacea (L.) Roth, Oxalis acetosella L., Vaccinium myrtillus L., Deschampsia flexuosa (L.) Trin. More information about the site can be found in Kratochvílová et al. (1989) and Meteorological yearbook (2012).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| bily_kriz | 3 | 2000 | 13.53 | 8.537 | 4.102 | 1490 | 79.94 | 912.8 | 370605 | 2.351 |
| bily_kriz | 3 | 2001 | 12.42 | 7.674 | 3.717 | 1567 | 82.75 | 912.3 | 341851 | 2.475 |
| bily_kriz | 3 | 2002 | 12.98 | 8.296 | 4.418 | 1379 | 86.43 | 913 | 375278 | 2.199 |
| bily_kriz | 3 | 2003 | 11.09 | 6.162 | 2.35 | 1004 | 72.76 | 914.5 | 405381 | 1.98 |
| bily_kriz | 3 | 2004 | 12.28 | 7.683 | 3.645 | 1652 | 88.84 | 912.9 | 367440 | 2.254 |
| bily_kriz | 3 | 2005 | 9.31 | 5.93 | 3.032 | 1506 | 80.07 | 914 | 387422 | 1.945 |
| bily_kriz | 3 | 2006 | 10.4 | 6.878 | 3.872 | 1395 | 81.56 | 914.3 | 394616 | 2.022 |
| bily_kriz | 3 | 2007 | 10.97 | 7.567 | 4.421 | 1750 | 81.75 | 911.8 | 379212 | 2.067 |
| bily_kriz | 3 | 2008 | 10.54 | 7.485 | 4.652 | 1168 | 83.8 | 913.2 | 387168 | 2.404 |
| bily_kriz | 3 | 2000-2008 | 11.5 | 7.357 | 3.801 | 1435 | 81.99 | 913.2 | 378775 | 2.189 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 11.54 | 6.931 | 2.223 | 968.3 | 74.29 | 949.9 | 391145 | 3.218 |
| GFDLESM2M | piControl | 1661-2099 | 11.54 | 6.811 | 2.08 | 1041 | 77.09 | 949.7 | 391289 | 2.561 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.9 | 8.31 | 3.577 | 1016 | 73.81 | 950.8 | 397678 | 3.445 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.41 | 8.748 | 3.953 | 989.9 | 73.18 | 951.1 | 401238 | 3.385 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.27 | 8.651 | 3.903 | 989.9 | 73.31 | 951.1 | 397579 | 3.415 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 14.11 | 9.203 | 4.232 | 1001 | 73.28 | 951.4 | 397359 | 3.196 |
| HadGEM2ES | historical | 1861-2005 | 11.54 | 6.75 | 1.825 | 949 | 73.46 | 950.2 | 401482 | 3.246 |
| HadGEM2ES | piControl | 1661-2299 | 12.34 | 7.401 | 2.315 | 969.5 | 72.05 | 950 | 428086 | 3.231 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 14.17 | 9.44 | 4.636 | 1087 | 72.41 | 950.1 | 426496 | 3.226 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 15.19 | 10.36 | 5.448 | 1013 | 69.91 | 950.4 | 428361 | 3.228 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 15.15 | 10.34 | 5.469 | 1020 | 70.03 | 950.5 | 427706 | 3.251 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 16.52 | 11.6 | 6.636 | 990.1 | 68.09 | 950.7 | 438960 | 3.272 |
| IPSLCM5ALR | historical | 1861-2005 | 10.98 | 6.358 | 1.602 | 1027 | 75.86 | 949.5 | 397737 | 3.26 |
| IPSLCM5ALR | piControl | 1661-2299 | 10.43 | 5.751 | 0.894 | 1056 | 76.62 | 949.3 | 414643 | 3.112 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 13.35 | 8.822 | 4.222 | 1098 | 73.86 | 949.8 | 421470 | 3.215 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 14.96 | 10.31 | 5.649 | 1047 | 72.04 | 950.6 | 426964 | 3.063 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 13.97 | 9.406 | 4.783 | 1044 | 72.55 | 950.2 | 420093 | 3.148 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 20.89 | 16.1 | 11.29 | 939.5 | 66.13 | 951 | 435454 | 3.02 |
| MIROC5 | historical | 1861-2005 | 11.53 | 6.839 | 1.974 | 966.6 | 73.72 | 950.1 | 398037 | 3.298 |
| MIROC5 | piControl | 1661-2299 | 12.98 | 7.79 | 2.546 | 1000 | 71.12 | 949.7 | 453618 | 3.09 |
| MIROC5 | rcp2p6 | 2006-2299 | 14.39 | 9.212 | 3.955 | 1032 | 69.67 | 950.7 | 459553 | 3.365 |
| MIROC5 | rcp4p5 | 2006-2099 | 14.76 | 9.597 | 4.44 | 1072 | 70.75 | 950.7 | 442918 | 3.085 |
| MIROC5 | rcp6p0 | 2006-2099 | 14.55 | 9.413 | 4.238 | 1069 | 70.59 | 950.6 | 445612 | 3.168 |
| MIROC5 | rcp8p5 | 2006-2099 | 15.82 | 10.56 | 5.287 | 1068 | 69.55 | 951.1 | 454293 | 3.135 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 10.93 | 6.768 | 3.223 | 1327 | 80.79 | 913.5 | 382227 | 2.181 |
| GFDLESM2M | piControl | 1661-2099 | 10.92 | 6.65 | 3.098 | 1426 | 82.93 | 913.4 | 382337 | 1.74 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.27 | 8.145 | 4.577 | 1391 | 80.31 | 914.2 | 388480 | 2.337 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 12.78 | 8.582 | 4.97 | 1347 | 79.73 | 914.4 | 391175 | 2.299 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 12.64 | 8.489 | 4.912 | 1346 | 79.83 | 914.4 | 387741 | 2.318 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 13.46 | 9.042 | 5.306 | 1356 | 79.71 | 914.6 | 387804 | 2.172 |
| HadGEM2ES | historical | 1861-2005 | 10.42 | 6.163 | 2.5 | 1528 | 81.87 | 914 | 379761 | 2.211 |
| HadGEM2ES | piControl | 1661-2299 | 11.21 | 6.813 | 3.035 | 1554 | 80.83 | 913.6 | 400913 | 2.198 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 13.06 | 8.852 | 5.294 | 1730 | 81.19 | 913.2 | 398584 | 2.203 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 14.06 | 9.767 | 6.14 | 1566 | 78.74 | 913.3 | 401353 | 2.207 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 14.03 | 9.756 | 6.152 | 1599 | 78.8 | 913.4 | 400592 | 2.223 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 15.38 | 11.01 | 7.342 | 1523 | 76.64 | 913.4 | 412375 | 2.238 |
| IPSLCM5ALR | historical | 1861-2005 | 10.39 | 6.13 | 2.473 | 1374 | 83.12 | 913.8 | 390576 | 2.215 |
| IPSLCM5ALR | piControl | 1661-2299 | 9.834 | 5.522 | 1.785 | 1418 | 83.63 | 913.7 | 404397 | 2.114 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 12.76 | 8.592 | 5.075 | 1470 | 81.46 | 913.4 | 409411 | 2.186 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 14.35 | 10.08 | 6.52 | 1399 | 79.61 | 913.9 | 413982 | 2.083 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 13.37 | 9.179 | 5.647 | 1392 | 80.15 | 913.7 | 407645 | 2.143 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 20.29 | 15.88 | 12.19 | 1230 | 72.9 | 913.1 | 421215 | 2.066 |
| MIROC5 | historical | 1861-2005 | 10.57 | 6.462 | 2.874 | 1318 | 80.92 | 913.9 | 375332 | 2.333 |
| MIROC5 | piControl | 1661-2299 | 11.95 | 7.413 | 3.546 | 1361 | 78.32 | 913.2 | 426218 | 2.188 |
| MIROC5 | rcp2p6 | 2006-2299 | 13.36 | 8.835 | 4.957 | 1407 | 76.77 | 913.9 | 432601 | 2.38 |
| MIROC5 | rcp4p5 | 2006-2099 | 13.73 | 9.219 | 5.417 | 1459 | 77.95 | 913.8 | 416265 | 2.189 |
| MIROC5 | rcp6p0 | 2006-2099 | 13.53 | 9.036 | 5.219 | 1458 | 77.78 | 913.7 | 418812 | 2.247 |
| MIROC5 | rcp8p5 | 2006-2099 | 14.79 | 10.19 | 6.293 | 1457 | 76.64 | 914 | 427219 | 2.223 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 11.4 | 6.629 | 2.216 | 989 | 78.95 | 957.2 | 392392 | 3.68 |
| PRINCETON | 1901-2012 | 11.22 | 6.664 | 2.041 | 1008 | 85.34 | 959.2 | 405423 | 3.086 |
| WATCH | 1901-2001 | 11.42 | 6.794 | 2.09 | 1022 | 76.38 | 948.6 | 332569 | 2.055 |
| WFDEI | 1901-2010 | 11.47 | 6.83 | 2.107 | 1024 | 76.72 | 949 | 361220 | 2.406 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 11.67 | 7.073 | 2.415 | 1008 | 82.1 | 948.4 | 322974 | 2.051 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.86 | 8.263 | 3.571 | 1044 | 81.78 | 949.2 | 331432 | 2.166 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.37 | 8.691 | 3.934 | 1015 | 81.21 | 949.5 | 332323 | 2.132 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.23 | 8.6 | 3.885 | 1021 | 81.37 | 949.5 | 331107 | 2.141 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 14.06 | 9.162 | 4.25 | 1022 | 81.04 | 949.7 | 331276 | 2.036 |
| HadGEM2ES | historical | 1950-2004 | 11.41 | 6.813 | 2.161 | 1032 | 78.28 | 948.5 | 322696 | 2.036 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 14.7 | 9.762 | 4.83 | 1010 | 73.8 | 948.5 | 348081 | 2.015 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 15.36 | 10.41 | 5.479 | 1004 | 72.99 | 948.7 | 345896 | 2.004 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 15.3 | 10.38 | 5.492 | 1015 | 73.12 | 948.7 | 346140 | 2.025 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 16.66 | 11.62 | 6.635 | 994.8 | 71.33 | 948.9 | 351791 | 2.038 |
| IPSLCM5ALR | historical | 1950-2005 | 11.66 | 7.096 | 2.48 | 1016 | 79.68 | 948.5 | 320967 | 2.061 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 13.78 | 9.267 | 4.737 | 1095 | 77.91 | 948.5 | 335728 | 2.002 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 14.21 | 9.67 | 5.153 | 1063 | 77.22 | 948.9 | 334196 | 1.962 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 14.23 | 9.726 | 5.22 | 1068 | 77.07 | 948.7 | 332725 | 1.989 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 15.48 | 10.86 | 6.245 | 1039 | 75.77 | 949.1 | 338151 | 1.963 |
| MIROCESMCHEM | historical | 1950-2005 | 11.63 | 7.018 | 2.354 | 1032 | 87.44 | 948.3 | 327998 | 2.004 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 14.31 | 9.479 | 4.709 | 1086 | 87.92 | 948.9 | 369878 | 1.319 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 14.47 | 9.637 | 4.888 | 1093 | 88.02 | 949.3 | 364160 | 1.376 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 14.58 | 9.762 | 5.037 | 1134 | 88.13 | 948.9 | 366079 | 1.253 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 15.56 | 10.73 | 5.999 | 1114 | 88.09 | 949.5 | 371399 | 1.19 |
| NorESM1M | historical | 1950-2005 | 11.56 | 6.979 | 2.324 | 998.7 | 78.83 | 948.5 | 321467 | 2.05 |
| NorESM1M | rcp2p6 | 2006-2099 | 13.35 | 8.901 | 4.277 | 1032 | 74.59 | 948.7 | 345135 | 2.159 |
| NorESM1M | rcp4p5 | 2006-2099 | 13.95 | 9.362 | 4.627 | 1011 | 73.74 | 948.8 | 348312 | 2.112 |
| NorESM1M | rcp6p0 | 2006-2099 | 13.97 | 9.311 | 4.521 | 1024 | 74.22 | 948.9 | 346791 | 2.101 |
| NorESM1M | rcp8p5 | 2006-2099 | 14.76 | 9.636 | 4.513 | 1044 | 74.85 | 949.1 | 349510 | 2.03 |
The experimental site of Collelongo is located in Selva Piana, a pure Fagus sylvatica forest in Collelongo (AQ, central Italy) at 1560 m.a.s.l. Located 100 km from Rome, it is one of the first Italian sites of the ICP network and also part of the ILTER international network. The climate is Mediterranean montane, with a mean annual temperature of 7.2°C and a mean annual precipitation of 1179 mm in the period 1996-2014. Bedrock consists of cretaceous limestone. Soil depth exhibits high spatial variability ranging from 40 to 100 cm and is classified as a Humic Alisol (Chiti et al. 2010) or Dystric Luvisol according to the FAO classification. The stand is a typical Apennine beech forests dominated by Fagus sylvatica with sporadic trees of Taxus baccata. The phytosociological association is Polysticho – Fagetum (Feoli & Lagonegro 1982). Currently, Collelongo constitutes a managed Fagus sylvatica stand with mean DBH of 25 cm in 2012. In the area around the eddy-flux tower there are only Fagus sylvatica trees. Moreover the footprint of the tower is totally included in the Fagus sylvatica forest. More information about the site can be found in Chiti et al. (2010) and Collalti et al. (2016).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| collelongo | 5 | 1996 | 9.127 | 5.269 | 1.599 | 1530 | 71.76 | 848.4 | 509716 | 1.714 |
| collelongo | 5 | 1997 | 11.1 | 6.649 | 2.581 | 1139 | 61.76 | 850.6 | 477648 | 1.775 |
| collelongo | 5 | 1998 | 10.8 | 6.659 | 2.659 | 1238 | 72.92 | 850.4 | 528816 | 1.66 |
| collelongo | 5 | 1999 | 12.39 | 7.946 | 4.035 | 1380 | 73.91 | 849.5 | 531835 | 1.585 |
| collelongo | 5 | 2000 | 13.4 | 8.631 | 4.541 | 858.1 | 71.04 | 850.9 | 532023 | 1.675 |
| collelongo | 5 | 2001 | 12.2 | 7.962 | 4.281 | 778.3 | 71.54 | 849.6 | 525700 | 1.711 |
| collelongo | 5 | 2002 | 11.37 | 7.616 | 4.31 | 1270 | 75.22 | 849.8 | 509202 | 1.644 |
| collelongo | 5 | 2003 | 12.37 | 8.175 | 4.317 | 1619 | 73.27 | 850.2 | 555206 | 1.596 |
| collelongo | 5 | 2004 | 11.64 | 7.279 | 3.466 | 1433 | 77.06 | 849.5 | 529835 | 1.619 |
| collelongo | 5 | 2005 | 10.9 | 6.665 | 2.965 | 942 | 80.23 | 849.4 | 546290 | 1.676 |
| collelongo | 5 | 2006 | 11.71 | 6.976 | 3.349 | 849.9 | 74.31 | 851 | 566697 | 1.68 |
| collelongo | 5 | 2007 | 11.07 | 7.309 | 3.76 | 795.4 | 74.13 | 849.7 | 577579 | 1.897 |
| collelongo | 5 | 2008 | 10.89 | 7.079 | 3.506 | 1194 | 76.55 | 849.9 | 550287 | 1.913 |
| collelongo | 5 | 2009 | 11.32 | 7.079 | 3.184 | 1213 | 77.25 | 848 | 557654 | 1.875 |
| collelongo | 5 | 2010 | 10.43 | 6.581 | 2.993 | 1458 | 75.77 | 846.9 | 519445 | 1.734 |
| collelongo | 5 | 2011 | 11.83 | 7.234 | 3.166 | 1089 | 73.92 | 850.9 | 595274 | 1.775 |
| collelongo | 5 | 2012 | 11.93 | 7.639 | 3.709 | 1013 | 71.18 | 849.8 | 594830 | 1.863 |
| collelongo | 5 | 2013 | 11.46 | 7.151 | 3.354 | 1348 | 76.63 | 848.9 | 543276 | 1.765 |
| collelongo | 5 | 2014 | 11.83 | 7.576 | 3.982 | 1244 | 78.07 | 849 | 544565 | 1.782 |
| collelongo | 5 | 1996-2014 | 11.46 | 7.236 | 3.461 | 1179 | 74.03 | 849.6 | 541888 | 1.734 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 19.63 | 14.46 | 9.623 | 939.7 | 73.42 | 903.2 | 528987 | 2.404 |
| GFDLESM2M | piControl | 1661-2099 | 19.92 | 14.39 | 9.317 | 969.4 | 74.37 | 902.9 | 534672 | 2.176 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 21.2 | 15.71 | 10.58 | 838.6 | 72.23 | 904.7 | 541528 | 2.316 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 21.56 | 16.04 | 10.9 | 838.7 | 72.02 | 904.9 | 539131 | 2.304 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 21.39 | 15.98 | 10.91 | 829.4 | 72.01 | 904.8 | 539860 | 2.419 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 22.09 | 16.61 | 11.46 | 802.5 | 71.32 | 905.3 | 546984 | 2.45 |
| HadGEM2ES | historical | 1861-2005 | 19.91 | 14.6 | 9.618 | 903.3 | 73.12 | 903.6 | 542772 | 2.485 |
| HadGEM2ES | piControl | 1661-2299 | 20.42 | 15.02 | 9.952 | 933.9 | 72.78 | 903.4 | 564115 | 2.477 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 22.04 | 16.68 | 11.73 | 992.4 | 72.94 | 903.9 | 564132 | 2.328 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 22.71 | 17.28 | 12.27 | 901.1 | 72.18 | 904.3 | 563118 | 2.317 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 22.63 | 17.25 | 12.29 | 939.7 | 72.48 | 904.3 | 558364 | 2.312 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 23.68 | 18.19 | 13.15 | 858.9 | 71.67 | 904.6 | 569736 | 2.303 |
| IPSLCM5ALR | historical | 1861-2005 | 19.09 | 13.95 | 9.147 | 1078 | 74.75 | 902.6 | 528342 | 2.411 |
| IPSLCM5ALR | piControl | 1661-2299 | 18.5 | 13.42 | 8.635 | 1159 | 75.29 | 902 | 537358 | 2.404 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 21.32 | 16.14 | 11.31 | 1062 | 73.66 | 903.5 | 558695 | 2.376 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 22.92 | 17.61 | 12.68 | 933.9 | 72.26 | 904.6 | 564999 | 2.331 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 21.96 | 16.73 | 11.86 | 945.9 | 72.64 | 904 | 558339 | 2.36 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 28.48 | 23.09 | 18.22 | 784.9 | 68.6 | 906 | 577565 | 2.178 |
| MIROC5 | historical | 1861-2005 | 20.18 | 14.8 | 9.82 | 940.9 | 73.15 | 903.4 | 540222 | 2.392 |
| MIROC5 | piControl | 1661-2299 | 20.85 | 15.27 | 10.21 | 1006 | 73.27 | 903 | 562452 | 2.291 |
| MIROC5 | rcp2p6 | 2006-2299 | 22.24 | 16.59 | 11.4 | 931.5 | 71.86 | 904.4 | 572035 | 2.334 |
| MIROC5 | rcp4p5 | 2006-2099 | 22.6 | 16.93 | 11.7 | 914.5 | 71.29 | 904.6 | 569318 | 2.366 |
| MIROC5 | rcp6p0 | 2006-2099 | 22.34 | 16.76 | 11.6 | 928.2 | 71.9 | 904.4 | 565042 | 2.363 |
| MIROC5 | rcp8p5 | 2006-2099 | 23.64 | 17.81 | 12.5 | 868.7 | 70.77 | 905 | 572539 | 2.263 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 10.41 | 6.349 | 2.691 | 1245 | 74.27 | 849.2 | 530737 | 1.74 |
| GFDLESM2M | piControl | 1661-2099 | 10.64 | 6.274 | 2.428 | 1288 | 75.17 | 849 | 536749 | 1.575 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 11.91 | 7.597 | 3.714 | 1116 | 73.14 | 850.4 | 543330 | 1.676 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 12.27 | 7.922 | 4.036 | 1114 | 72.93 | 850.5 | 540908 | 1.667 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 12.11 | 7.867 | 4.037 | 1106 | 72.88 | 850.5 | 541886 | 1.75 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 12.79 | 8.498 | 4.606 | 1063 | 72.19 | 850.7 | 548934 | 1.771 |
| HadGEM2ES | historical | 1861-2005 | 10.58 | 6.369 | 2.567 | 1140 | 73.69 | 850.2 | 549946 | 1.818 |
| HadGEM2ES | piControl | 1661-2299 | 11.07 | 6.79 | 2.921 | 1176 | 73.35 | 849.8 | 571445 | 1.813 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 12.7 | 8.453 | 4.672 | 1247 | 73.5 | 849.6 | 571942 | 1.703 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 13.36 | 9.049 | 5.221 | 1135 | 72.73 | 849.8 | 571337 | 1.695 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 13.29 | 9.022 | 5.234 | 1181 | 73.04 | 849.8 | 566045 | 1.69 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 14.31 | 9.965 | 6.112 | 1080 | 72.21 | 849.8 | 578996 | 1.685 |
| IPSLCM5ALR | historical | 1861-2005 | 9.972 | 5.848 | 2.151 | 1390 | 75.53 | 849.1 | 533516 | 1.725 |
| IPSLCM5ALR | piControl | 1661-2299 | 9.391 | 5.316 | 1.636 | 1497 | 76.01 | 848.7 | 540143 | 1.72 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 12.19 | 8.036 | 4.318 | 1367 | 74.47 | 849.2 | 562633 | 1.7 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 13.76 | 9.502 | 5.706 | 1194 | 73.08 | 849.9 | 568882 | 1.666 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 12.82 | 8.62 | 4.872 | 1203 | 73.46 | 849.6 | 562859 | 1.686 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 19.32 | 14.99 | 11.23 | 992.9 | 69.26 | 849.3 | 586314 | 1.555 |
| MIROC5 | historical | 1861-2005 | 10.9 | 6.667 | 2.878 | 1186 | 73.7 | 849.8 | 542661 | 1.735 |
| MIROC5 | piControl | 1661-2299 | 11.52 | 7.137 | 3.286 | 1268 | 73.83 | 849.2 | 565662 | 1.662 |
| MIROC5 | rcp2p6 | 2006-2299 | 12.9 | 8.463 | 4.506 | 1179 | 72.39 | 850.1 | 577369 | 1.694 |
| MIROC5 | rcp4p5 | 2006-2099 | 13.26 | 8.804 | 4.82 | 1157 | 71.8 | 850.2 | 574310 | 1.718 |
| MIROC5 | rcp6p0 | 2006-2099 | 13.01 | 8.626 | 4.695 | 1175 | 72.44 | 850.1 | 569387 | 1.715 |
| MIROC5 | rcp8p5 | 2006-2099 | 14.27 | 9.682 | 5.631 | 1097 | 71.26 | 850.3 | 578512 | 1.645 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 20.16 | 14.55 | 9.827 | 995.9 | 70.32 | 903.5 | 526367 | 3.852 |
| PRINCETON | 1901-2012 | 19.74 | 14.58 | 9.411 | 778 | 76.24 | 944.3 | 534651 | 4.393 |
| WATCH | 1901-2001 | 19.87 | 14.56 | 9.568 | 989.4 | 70.12 | 897 | 472481 | 1.919 |
| WFDEI | 1901-2010 | 19.88 | 14.59 | 9.634 | 986.1 | 71.9 | 898.9 | 494874 | 2.047 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 20.16 | 14.84 | 9.844 | 976.9 | 72.88 | 896.7 | 472623 | 1.914 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 21.57 | 15.92 | 10.6 | 894.8 | 71.67 | 897.7 | 486693 | 1.829 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 21.93 | 16.25 | 10.92 | 889.9 | 71.41 | 897.9 | 484897 | 1.822 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 21.76 | 16.2 | 10.94 | 881.4 | 71.42 | 897.8 | 485254 | 1.9 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 22.47 | 16.82 | 11.47 | 856 | 70.8 | 898 | 489746 | 1.923 |
| HadGEM2ES | historical | 1950-2004 | 20.03 | 14.7 | 9.696 | 1002 | 72.43 | 896.7 | 472700 | 1.915 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 22.49 | 16.9 | 11.72 | 1063 | 71.55 | 896.5 | 490280 | 1.822 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 23.08 | 17.43 | 12.21 | 1015 | 70.81 | 896.7 | 489750 | 1.8 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 23 | 17.4 | 12.24 | 1040 | 71.16 | 896.7 | 488396 | 1.799 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 24.13 | 18.41 | 13.15 | 972.3 | 69.97 | 896.8 | 493380 | 1.792 |
| IPSLCM5ALR | historical | 1950-2005 | 20.1 | 14.78 | 9.786 | 998.1 | 74.12 | 896.8 | 470635 | 1.926 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 21.95 | 16.58 | 11.53 | 999 | 73.16 | 896.8 | 485543 | 1.892 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 22.47 | 17.05 | 11.95 | 915.9 | 72.4 | 897.3 | 486528 | 1.875 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 22.43 | 17.07 | 12.04 | 934.7 | 72.53 | 897.1 | 483264 | 1.88 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 23.68 | 18.21 | 13.08 | 867.5 | 71.61 | 897.4 | 487829 | 1.854 |
| MIROCESMCHEM | historical | 1950-2005 | 20.14 | 14.79 | 9.785 | 991.2 | 84.32 | 896.6 | 474868 | 1.932 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 22.61 | 17.07 | 11.94 | 986.1 | 82.98 | 897.2 | 510021 | 1.918 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 22.8 | 17.23 | 12.08 | 970.5 | 82.95 | 897.4 | 507108 | 1.886 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 22.82 | 17.26 | 12.11 | 1004 | 82.98 | 897.2 | 505843 | 1.902 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 23.82 | 18.22 | 13.04 | 930.7 | 82.67 | 897.6 | 510500 | 1.869 |
| NorESM1M | historical | 1950-2005 | 20.02 | 14.72 | 9.738 | 1003 | 72.37 | 896.6 | 470121 | 1.91 |
| NorESM1M | rcp2p6 | 2006-2099 | 21.61 | 16.13 | 10.99 | 1012 | 71.07 | 896.7 | 485516 | 1.881 |
| NorESM1M | rcp4p5 | 2006-2099 | 22.09 | 16.59 | 11.41 | 988.2 | 70.27 | 896.8 | 488845 | 1.886 |
| NorESM1M | rcp6p0 | 2006-2099 | 22.05 | 16.58 | 11.44 | 975.3 | 70.47 | 896.9 | 486925 | 1.895 |
| NorESM1M | rcp8p5 | 2006-2099 | 22.78 | 17.37 | 12.27 | 939.6 | 69.48 | 897 | 492603 | 1.907 |
The most northern site included in the PROFOUND DB is the ICP Forests Level II site Hyytiälä, Finland. It is also a Fluxnet site and the coldest site with an annual temperature of 4.4°C and 604 mm annual precipitation during the 1996-2014 period and lies at 185 m.a.s.l. The soil is classified as a Haplic Podzol. Picea abies is the naturally dominant tree species building Fennoscandian moss-rich spruce forests with Pinus sylvestris. A Pinus sylvestris stand was sown in 1962, today with admixtures of Picea abies and hardwood species (Betula pendula, Betula pubescens and Populus tremula). Mean DBH were 17 cm for P. sylvestris, 5 cm for P. abies and 7 cm for hardwood species in the year 2008. More information about the site can be found in Haataja & Vesala (1997), Rannik et al. (2004), Vesala et al. (2005), Ilvesniemi et al. (2009), Mammarella et al. (2009) and Ilvesniemi et al. (2010).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| hyytiala | 12 | 1996 | 6.396 | 3.398 | 0.321 | 482.8 | 78.41 | 996.1 | 287858 | 2.955 |
| hyytiala | 12 | 1997 | 7.269 | 4.275 | 0.982 | 474.9 | 72.77 | 991.9 | 342174 | 3.668 |
| hyytiala | 12 | 1998 | 6.424 | 3.438 | 0.28 | 614.7 | 79.84 | 991 | 316550 | 3.67 |
| hyytiala | 12 | 1999 | 7.461 | 4.333 | 0.991 | 459.4 | 77.7 | 991.2 | 333417 | 3.609 |
| hyytiala | 12 | 2000 | 8.23 | 5.306 | 2.198 | 659.6 | 79.81 | 990.8 | 316564 | 3.76 |
| hyytiala | 12 | 2001 | 6.814 | 3.869 | 0.719 | 607.8 | 79.45 | 991.7 | 298774 | 3.551 |
| hyytiala | 12 | 2002 | 7.564 | 4.366 | 0.875 | 328.5 | 75.26 | 991.9 | 334385 | 3.421 |
| hyytiala | 12 | 2003 | 7.481 | 4.233 | 0.936 | 482 | 78.33 | 990.6 | 301400 | 3.58 |
| hyytiala | 12 | 2004 | 7.271 | 4.225 | 0.957 | 513.7 | 76.98 | 988 | 298808 | 3.195 |
| hyytiala | 12 | 2005 | 7.839 | 4.712 | 1.399 | 668 | 77.21 | 990.3 | 331805 | 3.52 |
| hyytiala | 12 | 2006 | 8.091 | 4.983 | 1.56 | 504.5 | 76.39 | 991 | 354639 | 3.518 |
| hyytiala | 12 | 2007 | 7.88 | 4.902 | 1.694 | 537.8 | 79.23 | 988.1 | 300545 | 3.47 |
| hyytiala | 12 | 2008 | 7.854 | 5.105 | 2.205 | 893.7 | 80.61 | 988.6 | 269888 | 3.468 |
| hyytiala | 12 | 2009 | 7.085 | 4.045 | 0.876 | 573.1 | 79.03 | 991.4 | 299100 | 3.117 |
| hyytiala | 12 | 2010 | 5.899 | 2.735 | -0.703 | 717.4 | 76.53 | 991.8 | 297073 | 3.093 |
| hyytiala | 12 | 2011 | 8.398 | 5.319 | 2.147 | 773.2 | 78.25 | 990.6 | 301700 | 3.395 |
| hyytiala | 12 | 2012 | 6.115 | 3.301 | 0.285 | 920.2 | 82.08 | 990.9 | 287373 | 3.248 |
| hyytiala | 12 | 2013 | 8.179 | 5.088 | 1.788 | 627 | 76.36 | 991.2 | 311700 | 3.493 |
| hyytiala | 12 | 2014 | 8.339 | 5.216 | 1.872 | 638 | 76.73 | 993.5 | 299194 | 3.283 |
| hyytiala | 12 | 1996-2014 | 7.399 | 4.36 | 1.125 | 604 | 77.94 | 991.1 | 309629 | 3.422 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 7.613 | 3.59 | -0.718 | 692.4 | 81.31 | 993.2 | 350370 | 2.085 |
| GFDLESM2M | piControl | 1661-2099 | 7.575 | 3.425 | -1.045 | 716.9 | 82.02 | 993.3 | 351460 | 1.909 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 8.997 | 5.646 | 2.134 | 767.4 | 80.4 | 992.4 | 359423 | 2.537 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 9.4 | 6.081 | 2.614 | 777.5 | 80.82 | 992.5 | 352709 | 2.445 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 9.366 | 6.023 | 2.515 | 748.4 | 80.16 | 992.9 | 360065 | 2.729 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 9.855 | 6.523 | 3.028 | 779.5 | 80.61 | 992.5 | 351621 | 2.826 |
| HadGEM2ES | historical | 1861-2005 | 7.197 | 3.184 | -1.12 | 670.4 | 80.55 | 993.7 | 352960 | 2.166 |
| HadGEM2ES | piControl | 1661-2299 | 7.499 | 3.429 | -0.921 | 684.4 | 80.36 | 993.8 | 361139 | 2.13 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 9.764 | 5.987 | 1.994 | 741 | 79.91 | 993.6 | 364275 | 2.037 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 10.81 | 7.034 | 3.083 | 738.3 | 78.37 | 993.3 | 363675 | 2.047 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 10.71 | 6.921 | 2.944 | 735.2 | 78.69 | 993.6 | 363963 | 2.062 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 11.88 | 8.077 | 4.138 | 735.6 | 77.46 | 993.6 | 366764 | 2.036 |
| IPSLCM5ALR | historical | 1861-2005 | 6.926 | 2.885 | -1.43 | 651.6 | 80.81 | 994.2 | 360964 | 2.141 |
| IPSLCM5ALR | piControl | 1661-2299 | 6.222 | 2.078 | -2.352 | 610.1 | 80.97 | 994.9 | 370371 | 2.118 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 10.14 | 6.313 | 2.291 | 712.2 | 78.66 | 993.6 | 376308 | 2.14 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 12.11 | 8.364 | 4.491 | 765.7 | 77.44 | 993.4 | 379161 | 2.122 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 10.86 | 7.08 | 3.134 | 719.2 | 77.99 | 993.5 | 373794 | 2.149 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 17.3 | 13.68 | 10.03 | 931 | 74.79 | 991.9 | 382772 | 2.096 |
| MIROC5 | historical | 1861-2005 | 7.406 | 3.369 | -0.939 | 700.3 | 80.36 | 993.7 | 355475 | 2.128 |
| MIROC5 | piControl | 1661-2299 | 7.961 | 3.714 | -0.787 | 696.5 | 78.74 | 993.5 | 376342 | 2.088 |
| MIROC5 | rcp2p6 | 2006-2299 | 9.8 | 5.735 | 1.5 | 748.7 | 77.82 | 993.7 | 375667 | 2.136 |
| MIROC5 | rcp4p5 | 2006-2099 | 10.5 | 6.482 | 2.312 | 747.5 | 77.14 | 993.5 | 372153 | 2.151 |
| MIROC5 | rcp6p0 | 2006-2099 | 10.2 | 6.206 | 2.057 | 765.3 | 77.92 | 993.5 | 369725 | 2.139 |
| MIROC5 | rcp8p5 | 2006-2099 | 11.67 | 7.631 | 3.497 | 748.5 | 76.29 | 993.7 | 375778 | 2.061 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 6.997 | 3.92 | 0.626 | 608 | 80.02 | 990.7 | 305455 | 3.301 |
| GFDLESM2M | piControl | 1661-2099 | 6.929 | 3.756 | 0.34 | 636.1 | 80.79 | 990.7 | 306373 | 3.023 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 8.538 | 5.976 | 3.297 | 670.9 | 79.07 | 989.7 | 313714 | 4.02 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 8.95 | 6.412 | 3.77 | 679.1 | 79.52 | 989.7 | 307819 | 3.874 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 8.911 | 6.354 | 3.68 | 652.6 | 78.83 | 990.2 | 315303 | 4.323 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 9.402 | 6.853 | 4.187 | 676.8 | 79.28 | 989.8 | 306825 | 4.477 |
| HadGEM2ES | historical | 1861-2005 | 6.051 | 2.944 | -0.417 | 561.8 | 79.37 | 991.8 | 305875 | 3.469 |
| HadGEM2ES | piControl | 1661-2299 | 6.341 | 3.189 | -0.209 | 578.6 | 79.11 | 991.8 | 314005 | 3.41 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 8.672 | 5.747 | 2.634 | 624.4 | 78.56 | 991.5 | 317798 | 3.261 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 9.721 | 6.794 | 3.718 | 612.7 | 76.92 | 991.1 | 317878 | 3.278 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 9.619 | 6.681 | 3.583 | 611.4 | 77.3 | 991.5 | 318136 | 3.302 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 10.78 | 7.837 | 4.772 | 608.4 | 75.98 | 991.3 | 321198 | 3.26 |
| IPSLCM5ALR | historical | 1861-2005 | 5.908 | 2.778 | -0.599 | 580 | 79.55 | 992 | 312060 | 3.446 |
| IPSLCM5ALR | piControl | 1661-2299 | 5.181 | 1.971 | -1.5 | 541.3 | 79.81 | 992.7 | 320743 | 3.409 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 9.176 | 6.206 | 3.075 | 634.3 | 76.93 | 991.2 | 326784 | 3.445 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 11.16 | 8.257 | 5.25 | 681.8 | 75.75 | 990.9 | 330909 | 3.416 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 9.901 | 6.974 | 3.904 | 636.4 | 76.27 | 991 | 325232 | 3.46 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 16.38 | 13.57 | 10.74 | 817.4 | 73.17 | 989.1 | 337623 | 3.374 |
| MIROC5 | historical | 1861-2005 | 5.952 | 2.856 | -0.472 | 603.3 | 79.37 | 991.8 | 302579 | 3.444 |
| MIROC5 | piControl | 1661-2299 | 6.459 | 3.201 | -0.275 | 599.3 | 77.73 | 991.6 | 321461 | 3.38 |
| MIROC5 | rcp2p6 | 2006-2299 | 8.342 | 5.223 | 1.963 | 644.5 | 76.73 | 991.6 | 320906 | 3.455 |
| MIROC5 | rcp4p5 | 2006-2099 | 9.054 | 5.969 | 2.76 | 641.6 | 76.12 | 991.4 | 317513 | 3.479 |
| MIROC5 | rcp6p0 | 2006-2099 | 8.755 | 5.692 | 2.499 | 661.4 | 76.83 | 991.4 | 315470 | 3.458 |
| MIROC5 | rcp8p5 | 2006-2099 | 10.21 | 7.118 | 3.944 | 641.4 | 75.24 | 991.6 | 321647 | 3.334 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 7.404 | 3.411 | -0.796 | 694.6 | 84.61 | 998 | 350401 | 3.476 |
| PRINCETON | 1901-2012 | 7.235 | 3.438 | -0.968 | 540.5 | 85.91 | 1008 | 326425 | 3.513 |
| WATCH | 1901-2001 | 7.148 | 3.067 | -0.856 | 667.9 | 82.01 | 994.1 | 284340 | 2.404 |
| WFDEI | 1901-2010 | 7.226 | 3.189 | -0.796 | 667.3 | 81.28 | 994 | 297054 | 2.337 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 7.357 | 3.164 | -0.889 | 680.3 | 88.6 | 994.2 | 283301 | 2.386 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 8.613 | 5.062 | 1.686 | 749.3 | 87.85 | 993.3 | 291310 | 2.877 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 9.016 | 5.508 | 2.178 | 759.4 | 88.17 | 993.4 | 285794 | 2.747 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 8.981 | 5.442 | 2.07 | 731.8 | 87.62 | 993.8 | 292444 | 3.037 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 9.472 | 5.962 | 2.622 | 762.2 | 88.04 | 993.4 | 284917 | 3.15 |
| HadGEM2ES | historical | 1950-2004 | 7.374 | 3.181 | -0.854 | 671.1 | 82.68 | 994.2 | 281120 | 2.392 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 9.715 | 5.623 | 1.744 | 696 | 81.33 | 994.4 | 290975 | 2.303 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 10.59 | 6.552 | 2.739 | 714.2 | 80.5 | 994.1 | 290974 | 2.308 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 10.51 | 6.456 | 2.624 | 706.2 | 80.75 | 994.4 | 291447 | 2.32 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 11.65 | 7.593 | 3.794 | 712.6 | 79.58 | 994.3 | 293028 | 2.298 |
| IPSLCM5ALR | historical | 1950-2005 | 7.54 | 3.367 | -0.651 | 685 | 84.39 | 993.9 | 279859 | 2.407 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 10.51 | 6.49 | 2.643 | 745.2 | 82.58 | 993.5 | 291522 | 2.429 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 11.26 | 7.289 | 3.503 | 751.9 | 81.93 | 993.6 | 293278 | 2.422 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 11.16 | 7.222 | 3.467 | 738.4 | 81.86 | 993.6 | 290916 | 2.431 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 12.52 | 8.619 | 4.926 | 788.3 | 80.84 | 993.4 | 295375 | 2.416 |
| MIROCESMCHEM | historical | 1950-2005 | 7.28 | 3.077 | -0.952 | 680.9 | 90.17 | 993.8 | 286055 | 2.45 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 10.84 | 6.712 | 2.87 | 777.7 | 88.45 | 993.3 | 301850 | 2.278 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 11.41 | 7.328 | 3.562 | 797 | 88.42 | 993.4 | 298065 | 2.182 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 11.44 | 7.372 | 3.61 | 783.1 | 88.37 | 993.2 | 298949 | 2.146 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 12.65 | 8.561 | 4.798 | 813.7 | 88.04 | 993.3 | 300516 | 2.105 |
| NorESM1M | historical | 1950-2005 | 7.511 | 3.354 | -0.65 | 681.5 | 80.69 | 994.1 | 279727 | 2.399 |
| NorESM1M | rcp2p6 | 2006-2099 | 9.275 | 5.115 | 1.114 | 709.3 | 79.27 | 994.1 | 291195 | 2.41 |
| NorESM1M | rcp4p5 | 2006-2099 | 9.867 | 5.713 | 1.718 | 721.9 | 78.92 | 993.9 | 290569 | 2.392 |
| NorESM1M | rcp6p0 | 2006-2099 | 9.818 | 5.747 | 1.828 | 701.5 | 78.48 | 993.6 | 292257 | 2.551 |
| NorESM1M | rcp8p5 | 2006-2099 | 10.61 | 6.535 | 2.624 | 715.6 | 77.73 | 994 | 293543 | 2.585 |
The KROOF forest belongs to the “Kranzberg Forest Roof Experiment” of the Technical University Munich (TUM) and the Helmholtz-Zentrum Munich. The site is located close to Freising, Germany, in the Kranzberger Forst in 502 m.a.s.l (wc-alt.). Mean annual temperature is around 8.2°C, annual rainfall around 849 mm during the period 1998-2010. The soil type, Luvisol, is typical for the region. The potential natural vegetation is (sessile oak-) beech forest (Fagus sylvatica, Quercus petraea, Quercus robur). The establishment of the research plot dates back to 1992. The mixed stand comprises large groups of Fagus sylvatica surrounded by Picea abies with mean DBH of 26 cm and 33 cm in 2010, respectively. Other occurring species are Acer platanoides (20 cm), Pinus sylvestris (31 cm), Larix decidua (26 cm) and Quercus robur (29 cm). More information about the site can be found in Pretzsch et al. (1998; 2014) and Matyssek et al. (2014).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 13.5 | 8.906 | 4.663 | 972.9 | 77.16 | 954.2 | 409921 | 2.383 |
| GFDLESM2M | piControl | 1661-2099 | 13.51 | 8.893 | 4.673 | 1005 | 78.11 | 954 | 411105 | 2.065 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 14.74 | 10.02 | 5.61 | 993.9 | 77.13 | 955.3 | 414355 | 2.602 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 15.16 | 10.37 | 5.902 | 960.9 | 76.69 | 955.6 | 418265 | 2.614 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 15.15 | 10.35 | 5.922 | 977.8 | 77.04 | 955.6 | 416933 | 2.544 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 15.94 | 10.95 | 6.421 | 948.4 | 75.75 | 955.9 | 418171 | 2.362 |
| HadGEM2ES | historical | 1861-2005 | 13.36 | 8.639 | 4.234 | 939.5 | 76.84 | 954.6 | 417311 | 2.638 |
| HadGEM2ES | piControl | 1661-2299 | 13.75 | 8.973 | 4.515 | 972.6 | 76.66 | 954.3 | 433553 | 2.621 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 15.61 | 11.01 | 6.77 | 1038 | 76.36 | 954.3 | 437596 | 2.481 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 16.7 | 11.91 | 7.543 | 979.3 | 73.98 | 954.8 | 445398 | 2.475 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 16.56 | 11.81 | 7.463 | 971.1 | 74.34 | 954.8 | 444319 | 2.522 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 17.85 | 12.98 | 8.567 | 967.6 | 72.71 | 955 | 452306 | 2.528 |
| IPSLCM5ALR | historical | 1861-2005 | 13.01 | 8.328 | 3.966 | 936.8 | 77.89 | 953.7 | 414536 | 2.614 |
| IPSLCM5ALR | piControl | 1661-2299 | 12.5 | 7.746 | 3.279 | 936 | 78.4 | 953.4 | 430472 | 2.613 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 15.23 | 10.64 | 6.407 | 1034 | 75.75 | 954 | 434514 | 2.526 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 16.76 | 12.07 | 7.77 | 1024 | 74 | 954.8 | 441644 | 2.388 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 15.77 | 11.15 | 6.896 | 1003 | 74.6 | 954.4 | 434018 | 2.555 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 22.54 | 17.59 | 13.02 | 994.3 | 68.29 | 954.9 | 460244 | 2.382 |
| MIROC5 | historical | 1861-2005 | 13.59 | 8.888 | 4.492 | 917.5 | 77.1 | 954.4 | 413313 | 2.515 |
| MIROC5 | piControl | 1661-2299 | 14.61 | 9.543 | 4.91 | 1021 | 76.53 | 953.9 | 461003 | 2.279 |
| MIROC5 | rcp2p6 | 2006-2299 | 16.09 | 10.95 | 6.213 | 1036 | 75.06 | 955 | 472695 | 2.563 |
| MIROC5 | rcp4p5 | 2006-2099 | 16.39 | 11.26 | 6.535 | 1026 | 75.03 | 955.2 | 465566 | 2.545 |
| MIROC5 | rcp6p0 | 2006-2099 | 16.14 | 11.07 | 6.386 | 1044 | 75.27 | 955 | 462644 | 2.571 |
| MIROC5 | rcp8p5 | 2006-2099 | 17.45 | 12.21 | 7.43 | 1057 | 74.94 | 955.5 | 470872 | 2.44 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 12.19 | 7.348 | 3.128 | 840.9 | 80.82 | – | 392192 | 0.991 |
| GFDLESM2M | piControl | 1661-2099 | 12.21 | 7.335 | 3.133 | 865.5 | 81.67 | – | 393145 | 0.859 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 13.41 | 8.459 | 4.083 | 860.9 | 80.79 | – | 396112 | 1.081 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.85 | 8.805 | 4.374 | 832.9 | 80.4 | – | 399896 | 1.086 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.84 | 8.791 | 4.392 | 846.2 | 80.69 | – | 398339 | 1.057 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 14.66 | 9.392 | 4.887 | 826.9 | 79.52 | – | 399646 | 0.981 |
| HadGEM2ES | historical | 1861-2005 | 11.89 | 7.041 | 2.788 | 837.2 | 81.25 | – | 385513 | 1.109 |
| HadGEM2ES | piControl | 1661-2299 | 12.28 | 7.374 | 3.068 | 865.9 | 81.07 | – | 400374 | 1.104 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 14.13 | 9.412 | 5.319 | 929.8 | 80.84 | – | 403007 | 1.044 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 15.24 | 10.32 | 6.098 | 882.7 | 78.47 | – | 410577 | 1.041 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 15.09 | 10.21 | 6.015 | 872.4 | 78.85 | – | 409413 | 1.062 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 16.4 | 11.38 | 7.125 | 873 | 77.16 | – | 417666 | 1.063 |
| IPSLCM5ALR | historical | 1861-2005 | 11.97 | 6.996 | 2.644 | 794 | 81.45 | – | 393492 | 1.101 |
| IPSLCM5ALR | piControl | 1661-2299 | 11.45 | 6.415 | 1.96 | 792.9 | 81.8 | – | 408697 | 1.101 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 14.19 | 9.307 | 5.081 | 876.5 | 79.53 | – | 410305 | 1.062 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 15.74 | 10.74 | 6.443 | 869 | 77.74 | – | 416749 | 1.003 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 14.74 | 9.823 | 5.569 | 850.4 | 78.36 | – | 409514 | 1.074 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 21.53 | 16.27 | 11.7 | 858.6 | 71.85 | – | 434653 | 0.997 |
| MIROC5 | historical | 1861-2005 | 11.96 | 7.217 | 2.974 | 772 | 81.15 | – | 374458 | 1.074 |
| MIROC5 | piControl | 1661-2299 | 12.99 | 7.872 | 3.4 | 853.4 | 80.72 | – | 420498 | 0.972 |
| MIROC5 | rcp2p6 | 2006-2299 | 14.46 | 9.278 | 4.708 | 871.8 | 79.28 | – | 433005 | 1.095 |
| MIROC5 | rcp4p5 | 2006-2099 | 14.76 | 9.59 | 5.029 | 862.5 | 79.23 | – | 425229 | 1.087 |
| MIROC5 | rcp6p0 | 2006-2099 | 14.51 | 9.395 | 4.877 | 877.3 | 79.47 | – | 422558 | 1.099 |
| MIROC5 | rcp8p5 | 2006-2099 | 15.83 | 10.54 | 5.924 | 890.9 | 79.16 | – | 430741 | 1.042 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 13.36 | 8.708 | 4.445 | 929.1 | 81.29 | 954.2 | 420816 | 2.976 |
| PRINCETON | 1901-2012 | 13.1 | 8.745 | 4.172 | 769.5 | 86.97 | 934.2 | 436757 | 3.099 |
| WATCH | 1901-2001 | 13.2 | 8.653 | 4.352 | 894.7 | 75.75 | 959.1 | 328758 | 2.371 |
| WFDEI | 1901-2010 | 13.29 | 8.714 | 4.403 | 898.4 | 76.05 | 957.6 | 355673 | 2.396 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 13.56 | 9.024 | 4.75 | 952 | 86.78 | 959.2 | 325863 | 2.342 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 14.62 | 10 | 5.625 | 995.3 | 87.04 | 960.1 | 328883 | 2.473 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 15.03 | 10.33 | 5.892 | 971.2 | 86.92 | 960.5 | 331550 | 2.461 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 15.03 | 10.34 | 5.949 | 981.3 | 86.92 | 960.5 | 329986 | 2.387 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 15.74 | 10.88 | 6.39 | 957.7 | 86.08 | 960.8 | 331311 | 2.287 |
| HadGEM2ES | historical | 1950-2004 | 13.39 | 8.849 | 4.561 | 946.9 | 80.81 | 959.2 | 324336 | 2.353 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 15.9 | 11.23 | 6.89 | 965.1 | 79.11 | 959.6 | 343947 | 2.231 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 16.68 | 11.95 | 7.576 | 953.1 | 77.73 | 960.1 | 344634 | 2.224 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 16.53 | 11.84 | 7.497 | 945.1 | 78.06 | 960.1 | 344909 | 2.272 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 17.82 | 13 | 8.585 | 941.6 | 76.44 | 960.5 | 348260 | 2.268 |
| IPSLCM5ALR | historical | 1950-2005 | 13.52 | 9.016 | 4.764 | 952.5 | 80.67 | 959.2 | 322530 | 2.375 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 15.45 | 10.95 | 6.717 | 1030 | 78.79 | 959.4 | 339625 | 2.315 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 15.88 | 11.36 | 7.151 | 1025 | 78.14 | 960.1 | 337563 | 2.257 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 15.87 | 11.39 | 7.189 | 1018 | 78.03 | 959.7 | 336743 | 2.346 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 17.1 | 12.51 | 8.21 | 1012 | 76.63 | 960.2 | 344327 | 2.282 |
| MIROCESMCHEM | historical | 1950-2005 | 13.57 | 8.996 | 4.678 | 959.9 | 91.38 | 959 | 332970 | 2.38 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 16.07 | 11.41 | 7.054 | 1049 | 91.5 | 959.9 | 382600 | 1.946 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 16.07 | 11.55 | 7.307 | 1024 | 91.75 | 960.3 | 378516 | 1.936 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 16.28 | 11.63 | 7.301 | 1057 | 91.49 | 960 | 381116 | 1.948 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 17.17 | 12.62 | 8.368 | 1060 | 91.56 | 960.7 | 387032 | 1.941 |
| NorESM1M | historical | 1950-2005 | 13.46 | 8.861 | 4.513 | 942.1 | 82.38 | 959.2 | 324657 | 2.332 |
| NorESM1M | rcp2p6 | 2006-2099 | 15.13 | 10.52 | 6.158 | 997.6 | 79.83 | 959.8 | 354406 | 2.392 |
| NorESM1M | rcp4p5 | 2006-2099 | 15.68 | 10.95 | 6.499 | 965.1 | 78.97 | 960.1 | 359270 | 2.35 |
| NorESM1M | rcp6p0 | 2006-2099 | 15.78 | 10.77 | 6.122 | 979.9 | 80.46 | 960.2 | 355919 | 2.32 |
| NorESM1M | rcp8p5 | 2006-2099 | 16.82 | 11.17 | 6.02 | 1008 | 80.64 | 960.5 | 360565 | 2.233 |
The ICP Forests site Le Bray is located 20 km south-west of Bordeaux, France, at an altitude of 61 m.a.s.l. Mean annual temperature is about 13.4°C and precipitation 920 mm during the 1996-2008 period, constituting a moderate oceanic climate. The soil type is Arenosol (sandy and hydromorphic podzol), which is one of the most common soils in the region. The natural vegetation is formed by deciduous broadleaf forests such as pedunculate oak forests (Quercus robur), partly with Quercus pyrenaica, Quercus suber and Pinus pinaster. First measurements were made in 1986 in the monospecific planted Pinus pinaster stand. The site experienced a storm in 1999 and lost a large amount of trees. In 2009, the mean DBH was 35 cm. The final clear cut of the site occurred at the beginning of 2009. More information about the site can be found in Porté & Loustau (1998), Bosc et al. (2003) and Berbigier et al. (2001).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| le_bray | 14 | 1996 | 17.6 | 13.01 | 8.849 | 931.3 | 73.01 | 1012 | 520559 | 2.683 |
| le_bray | 14 | 1997 | 20.32 | 14.86 | 10.01 | 998.4 | 75.42 | 1009 | 505790 | 2.056 |
| le_bray | 14 | 1998 | 17.89 | 13.19 | 8.995 | 846.2 | 77.13 | 1009 | 483163 | 2.536 |
| le_bray | 14 | 1999 | 17.64 | 13.6 | 9.805 | 746.4 | 83.11 | 1008 | 459015 | 2.992 |
| le_bray | 14 | 2000 | 17.73 | 13.76 | 10.11 | 890 | 77.64 | 1007 | 450137 | 3.186 |
| le_bray | 14 | 2001 | 17.44 | 13.37 | 9.666 | 843.9 | 77.7 | 1007 | 448570 | 3.087 |
| le_bray | 14 | 2002 | 17.97 | 13.79 | 10.07 | 926.4 | 74.21 | 1007 | 396366 | 3.255 |
| le_bray | 14 | 2003 | 18.69 | 14.03 | 9.768 | 887.5 | 71.73 | 1003 | 527420 | 3.189 |
| le_bray | 14 | 2004 | 17.08 | 12.72 | 8.78 | 1086 | 75.16 | 1002 | 501334 | 3.122 |
| le_bray | 14 | 2005 | 17.3 | 12.61 | 8.381 | 813.2 | 73.06 | 1004 | 492121 | 3.258 |
| le_bray | 14 | 2006 | 17.84 | 13.35 | 9.288 | 840.5 | 73.09 | 1002 | 470300 | 3.359 |
| le_bray | 14 | 2007 | 16.77 | 12.88 | 9.325 | 992 | 79.33 | 1003 | 447195 | 3.332 |
| le_bray | 14 | 2008 | 16.61 | 12.67 | 9.054 | 1160 | 78.83 | 1001 | 446255 | 3.19 |
| le_bray | 14 | 1996-2008 | 17.76 | 13.37 | 9.392 | 920.2 | 76.11 | 1006 | 472940 | 3.019 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 18.25 | 13.51 | 9.176 | 1026 | 72.09 | 1011 | 481618 | 2.866 |
| GFDLESM2M | piControl | 1661-2099 | 18.4 | 13.43 | 8.965 | 1041 | 73.22 | 1011 | 483144 | 2.491 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 19.36 | 14.4 | 9.872 | 987.9 | 71.83 | 1013 | 480682 | 2.83 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 19.71 | 14.68 | 10.09 | 976.6 | 71.73 | 1013 | 480271 | 2.746 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 19.7 | 14.76 | 10.23 | 970.4 | 71.62 | 1013 | 484675 | 2.878 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 20.29 | 15.12 | 10.41 | 943 | 70.8 | 1013 | 487530 | 2.829 |
| HadGEM2ES | historical | 1861-2005 | 18.29 | 13.31 | 8.813 | 980 | 71.97 | 1012 | 487189 | 2.835 |
| HadGEM2ES | piControl | 1661-2299 | 18.6 | 13.54 | 8.962 | 999.5 | 71.85 | 1012 | 504842 | 2.878 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 20.46 | 15.37 | 10.85 | 1038 | 71.56 | 1011 | 513563 | 2.69 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 21.2 | 15.99 | 11.39 | 966.8 | 70.14 | 1012 | 514663 | 2.686 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 21.06 | 15.86 | 11.28 | 964.4 | 70.42 | 1012 | 511141 | 2.716 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 22.19 | 16.87 | 12.22 | 928.8 | 69.17 | 1012 | 520103 | 2.68 |
| IPSLCM5ALR | historical | 1861-2005 | 17.62 | 12.79 | 8.439 | 1074 | 72.94 | 1011 | 479266 | 2.888 |
| IPSLCM5ALR | piControl | 1661-2299 | 16.96 | 12.17 | 7.827 | 1109 | 73.37 | 1011 | 484639 | 2.959 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 19.68 | 14.8 | 10.41 | 1085 | 72.03 | 1011 | 500954 | 2.775 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 21.26 | 16.19 | 11.65 | 994.6 | 70.14 | 1011 | 513932 | 2.691 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 20.33 | 15.36 | 10.9 | 1024 | 70.56 | 1011 | 502302 | 2.834 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 27 | 21.86 | 17.22 | 865.4 | 64.24 | 1010 | 527558 | 2.654 |
| MIROC5 | historical | 1861-2005 | 18.58 | 13.61 | 9.14 | 1032 | 71.91 | 1012 | 486953 | 2.794 |
| MIROC5 | piControl | 1661-2299 | 19.04 | 13.95 | 9.377 | 1055 | 71.28 | 1011 | 514908 | 2.83 |
| MIROC5 | rcp2p6 | 2006-2299 | 20.49 | 15.16 | 10.44 | 1037 | 70.8 | 1012 | 523041 | 2.717 |
| MIROC5 | rcp4p5 | 2006-2099 | 20.64 | 15.36 | 10.64 | 1020 | 70.79 | 1012 | 515981 | 2.768 |
| MIROC5 | rcp6p0 | 2006-2099 | 20.45 | 15.23 | 10.55 | 1028 | 71.04 | 1012 | 511106 | 2.766 |
| MIROC5 | rcp8p5 | 2006-2099 | 21.59 | 16.21 | 11.46 | 1012 | 70.77 | 1012 | 519902 | 2.662 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 17.03 | 12.75 | 8.835 | 918.1 | 75.64 | 1006 | 476781 | 3.155 |
| GFDLESM2M | piControl | 1661-2099 | 17.16 | 12.67 | 8.64 | 926.9 | 76.62 | 1006 | 478228 | 2.742 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 18.12 | 13.64 | 9.552 | 888.6 | 75.33 | 1007 | 475842 | 3.115 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 18.46 | 13.91 | 9.773 | 874.2 | 75.22 | 1007 | 475372 | 3.021 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 18.45 | 13.99 | 9.911 | 867.3 | 75.11 | 1007 | 479935 | 3.167 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 19.03 | 14.36 | 10.11 | 851.1 | 74.3 | 1007 | 482721 | 3.111 |
| HadGEM2ES | historical | 1861-2005 | 17.11 | 12.68 | 8.675 | 852.1 | 76.1 | 1006 | 471415 | 3.056 |
| HadGEM2ES | piControl | 1661-2299 | 17.41 | 12.91 | 8.833 | 873.4 | 76.01 | 1006 | 487824 | 3.104 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 19.27 | 14.74 | 10.72 | 909.5 | 75.72 | 1006 | 496263 | 2.9 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 19.99 | 15.37 | 11.27 | 843.1 | 74.3 | 1006 | 497515 | 2.898 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 19.85 | 15.23 | 11.15 | 844.7 | 74.6 | 1006 | 493972 | 2.929 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 20.96 | 16.25 | 12.1 | 810.3 | 73.31 | 1006 | 503201 | 2.894 |
| IPSLCM5ALR | historical | 1861-2005 | 16.48 | 12.1 | 8.141 | 938.3 | 76.82 | 1006 | 474160 | 3.112 |
| IPSLCM5ALR | piControl | 1661-2299 | 15.82 | 11.48 | 7.527 | 967.2 | 77.21 | 1006 | 479222 | 3.19 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 18.53 | 14.11 | 10.12 | 947.6 | 75.97 | 1006 | 490673 | 2.986 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 20.09 | 15.5 | 11.37 | 870.7 | 74.09 | 1006 | 503783 | 2.895 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 19.16 | 14.67 | 10.61 | 896.5 | 74.53 | 1006 | 492014 | 3.05 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 25.82 | 21.17 | 16.95 | 760.3 | 67.83 | 1004 | 520170 | 2.856 |
| MIROC5 | historical | 1861-2005 | 17.2 | 12.86 | 8.902 | 892 | 76.08 | 1006 | 469452 | 3.038 |
| MIROC5 | piControl | 1661-2299 | 17.65 | 13.19 | 9.149 | 913.2 | 75.48 | 1005 | 496136 | 3.079 |
| MIROC5 | rcp2p6 | 2006-2299 | 19.07 | 14.41 | 10.22 | 899.7 | 74.98 | 1006 | 504142 | 2.954 |
| MIROC5 | rcp4p5 | 2006-2099 | 19.23 | 14.6 | 10.43 | 886.9 | 74.97 | 1006 | 497361 | 3.011 |
| MIROC5 | rcp6p0 | 2006-2099 | 19.04 | 14.47 | 10.34 | 890.8 | 75.22 | 1006 | 492488 | 3.009 |
| MIROC5 | rcp8p5 | 2006-2099 | 20.16 | 15.46 | 11.25 | 878.7 | 74.95 | 1007 | 501300 | 2.893 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 17.72 | 12.88 | 8.293 | 937.5 | 75.48 | 1014 | 483910 | 4.889 |
| PRINCETON | 1901-2012 | 17.3 | 12.93 | 7.866 | 929.7 | 83.26 | 989 | 486215 | 3.997 |
| WATCH | 1901-2001 | 17.72 | 12.89 | 8.34 | 1017 | 77.27 | 1022 | 392291 | 4.281 |
| WFDEI | 1901-2010 | 17.9 | 13.01 | 8.493 | 1009 | 76.56 | 1019 | 425802 | 3.86 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 18.07 | 13.28 | 8.782 | 1095 | 81.57 | 1022 | 391501 | 4.283 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 19.08 | 14.08 | 9.376 | 1037 | 80.54 | 1023 | 396770 | 4.368 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 19.46 | 14.38 | 9.623 | 1026 | 80.34 | 1023 | 395991 | 4.226 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 19.42 | 14.43 | 9.724 | 1025 | 80.31 | 1023 | 399116 | 4.466 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 20.1 | 14.88 | 9.965 | 990.3 | 79.13 | 1023 | 402261 | 4.411 |
| HadGEM2ES | historical | 1950-2004 | 17.9 | 13.09 | 8.595 | 1082 | 77.62 | 1022 | 390374 | 4.272 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 20.12 | 15.03 | 10.34 | 1052 | 75.63 | 1021 | 413596 | 4.157 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 20.63 | 15.55 | 10.86 | 1035 | 75.32 | 1022 | 411653 | 4.132 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 20.51 | 15.44 | 10.77 | 1029 | 75.51 | 1022 | 410752 | 4.179 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 21.56 | 16.38 | 11.64 | 988.4 | 74.56 | 1022 | 416035 | 4.104 |
| IPSLCM5ALR | historical | 1950-2005 | 17.98 | 13.19 | 8.701 | 1090 | 73.55 | 1022 | 389487 | 4.329 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 19.55 | 14.7 | 10.14 | 1084 | 72.5 | 1022 | 402647 | 4.242 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 20.13 | 15.18 | 10.55 | 1040 | 71.96 | 1022 | 405755 | 4.175 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 20.06 | 15.17 | 10.58 | 1059 | 71.8 | 1022 | 402176 | 4.321 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 21.19 | 16.22 | 11.55 | 1013 | 70.76 | 1022 | 408470 | 4.169 |
| MIROCESMCHEM | historical | 1950-2005 | 18.06 | 13.2 | 8.637 | 1077 | 89.97 | 1022 | 397708 | 4.373 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 20.79 | 15.53 | 10.69 | 1090 | 88.24 | 1022 | 450221 | 4.194 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 20.83 | 15.64 | 10.85 | 1054 | 88.42 | 1023 | 443380 | 4.178 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 21.36 | 15.86 | 10.87 | 1073 | 87.79 | 1023 | 445312 | 4.144 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 22.48 | 16.88 | 11.81 | 1029 | 86.61 | 1023 | 457528 | 4.142 |
| NorESM1M | historical | 1950-2005 | 17.99 | 13.17 | 8.653 | 1070 | 80.9 | 1022 | 392073 | 4.272 |
| NorESM1M | rcp2p6 | 2006-2099 | 19.36 | 14.44 | 9.843 | 1068 | 79.29 | 1022 | 412750 | 4.275 |
| NorESM1M | rcp4p5 | 2006-2099 | 19.96 | 14.82 | 10.01 | 1042 | 78.74 | 1022 | 418252 | 4.228 |
| NorESM1M | rcp6p0 | 2006-2099 | 19.69 | 14.95 | 10.47 | 1037 | 78.73 | 1022 | 415242 | 4.362 |
| NorESM1M | rcp8p5 | 2006-2099 | 20.53 | 15.57 | 10.91 | 1001 | 77.94 | 1023 | 422040 | 4.342 |
Peitz is a long term research plot in eastern Brandenburg, Germany. The site lies at about 50 m.a.s.l. The annual rainfall amounts to more than 608 mm and annual mean temperature is around 9.2°C during the 1901-2010 period. The soil type is a Dystric Cambisol. The potential natural vegetation is a South Scandinavian-east Central European dwarf shrub- and lichen-rich pine forests (Pinus sylvestris), partly with Quercus robur in the understorey, with Vaccinium vitis-idaea, Calluna vulgaris, Cladina spp., Dicranum polysetum on sandy soils and siliceous rocks. The forest is a pine forest (Pinus sylvestris) with a mean DBH of around 23 cm and a stand height of 17 m in 2011. The understorey consists partly of Quercus robur. Measurements were started in 1948. More information about this site can be found in Riek & Stähr (2004), Noack (2011; 2012) and about the climate data in Gerstengarbe et al. (2015).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 13.81 | 9.616 | 5.453 | 612.6 | 74.06 | 1005 | 365465 | 3.375 |
| GFDLESM2M | piControl | 1661-2099 | 13.74 | 9.518 | 5.35 | 651.1 | 76.14 | 1005 | 366675 | 2.84 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 15.02 | 10.83 | 6.599 | 645.8 | 74 | 1005 | 371829 | 3.835 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 15.46 | 11.2 | 6.921 | 648.3 | 74.1 | 1006 | 372223 | 3.795 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 15.43 | 11.17 | 6.916 | 643.1 | 74.02 | 1006 | 371345 | 3.747 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 15.92 | 11.61 | 7.308 | 634.1 | 73.82 | 1006 | 367699 | 3.752 |
| HadGEM2ES | historical | 1861-2005 | 13.43 | 9.193 | 4.954 | 582.9 | 73.63 | 1006 | 372427 | 3.646 |
| HadGEM2ES | piControl | 1661-2299 | 14 | 9.635 | 5.264 | 581.4 | 72.5 | 1005 | 397709 | 3.643 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 15.93 | 11.62 | 7.362 | 642.4 | 73.01 | 1005 | 402324 | 3.419 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 16.94 | 12.55 | 8.192 | 587.4 | 70.42 | 1005 | 408428 | 3.519 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 16.88 | 12.5 | 8.166 | 597.5 | 70.6 | 1005 | 407133 | 3.539 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 18.04 | 13.58 | 9.186 | 602.8 | 69.58 | 1005 | 414429 | 3.485 |
| IPSLCM5ALR | historical | 1861-2005 | 13.17 | 8.935 | 4.739 | 612.1 | 75.22 | 1005 | 375094 | 3.552 |
| IPSLCM5ALR | piControl | 1661-2299 | 12.63 | 8.31 | 4.002 | 621.8 | 75.76 | 1005 | 395164 | 3.334 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 15.48 | 11.39 | 7.344 | 671.9 | 73.6 | 1005 | 399889 | 3.526 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 16.88 | 12.77 | 8.75 | 672 | 72.36 | 1005 | 400272 | 3.441 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 16 | 11.93 | 7.933 | 665.9 | 72.72 | 1005 | 393997 | 3.491 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 22.11 | 17.97 | 13.95 | 665 | 67.98 | 1004 | 405196 | 3.39 |
| MIROC5 | historical | 1861-2005 | 13.55 | 9.377 | 5.214 | 597.8 | 74.17 | 1005 | 367431 | 3.542 |
| MIROC5 | piControl | 1661-2299 | 14.8 | 10.18 | 5.671 | 622.7 | 71.85 | 1005 | 420279 | 3.261 |
| MIROC5 | rcp2p6 | 2006-2299 | 15.94 | 11.38 | 6.887 | 659.7 | 72.07 | 1005 | 428570 | 3.592 |
| MIROC5 | rcp4p5 | 2006-2099 | 16.16 | 11.71 | 7.344 | 688.4 | 73.4 | 1005 | 417241 | 3.499 |
| MIROC5 | rcp6p0 | 2006-2099 | 16.09 | 11.59 | 7.164 | 661.5 | 72.36 | 1005 | 419686 | 3.591 |
| MIROC5 | rcp8p5 | 2006-2099 | 17.22 | 12.63 | 8.16 | 681 | 72.48 | 1006 | 426090 | 3.445 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 13.71 | 9.253 | 5.193 | 551.2 | 76.4 | 1008 | 368831 | 2.272 |
| GFDLESM2M | piControl | 1661-2099 | 13.65 | 9.154 | 5.093 | 586.2 | 78.32 | 1008 | 369775 | 1.914 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 14.92 | 10.47 | 6.337 | 580.8 | 76.33 | 1009 | 375181 | 2.581 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 15.36 | 10.83 | 6.661 | 583.3 | 76.4 | 1009 | 375723 | 2.555 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 15.33 | 10.81 | 6.656 | 578.3 | 76.34 | 1009 | 374780 | 2.522 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 15.83 | 11.24 | 7.049 | 571.1 | 76.13 | 1009 | 370976 | 2.527 |
| HadGEM2ES | historical | 1861-2005 | 13.64 | 9.094 | 4.923 | 513.5 | 75.11 | 1009 | 382648 | 2.425 |
| HadGEM2ES | piControl | 1661-2299 | 14.21 | 9.534 | 5.234 | 512.9 | 73.96 | 1009 | 410363 | 2.421 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 16.15 | 11.52 | 7.33 | 566.8 | 74.48 | 1008 | 414718 | 2.274 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 17.16 | 12.45 | 8.163 | 518.7 | 71.83 | 1008 | 420557 | 2.342 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 17.1 | 12.4 | 8.136 | 527 | 72.02 | 1008 | 419628 | 2.354 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 18.27 | 13.48 | 9.157 | 532.3 | 70.98 | 1008 | 427065 | 2.32 |
| IPSLCM5ALR | historical | 1861-2005 | 13.38 | 8.866 | 4.752 | 553.1 | 76.82 | 1008 | 383564 | 2.357 |
| IPSLCM5ALR | piControl | 1661-2299 | 12.84 | 8.241 | 4.018 | 560.8 | 77.34 | 1008 | 405106 | 2.211 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 15.69 | 11.32 | 7.355 | 607 | 75.22 | 1008 | 410078 | 2.341 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 17.09 | 12.7 | 8.761 | 607.3 | 73.98 | 1008 | 410582 | 2.288 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 16.2 | 11.86 | 7.943 | 602 | 74.34 | 1008 | 403839 | 2.32 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 22.32 | 17.9 | 13.96 | 602.2 | 69.45 | 1007 | 416170 | 2.259 |
| MIROC5 | historical | 1861-2005 | 13.82 | 9.316 | 5.201 | 554.6 | 76 | 1009 | 380958 | 2.353 |
| MIROC5 | piControl | 1661-2299 | 15.11 | 10.12 | 5.662 | 577.6 | 73.65 | 1008 | 438605 | 2.166 |
| MIROC5 | rcp2p6 | 2006-2299 | 16.24 | 11.31 | 6.876 | 612.1 | 73.89 | 1009 | 447397 | 2.384 |
| MIROC5 | rcp4p5 | 2006-2099 | 16.46 | 11.65 | 7.331 | 638.4 | 75.23 | 1009 | 434969 | 2.324 |
| MIROC5 | rcp6p0 | 2006-2099 | 16.38 | 11.53 | 7.152 | 615.3 | 74.18 | 1008 | 437843 | 2.384 |
| MIROC5 | rcp8p5 | 2006-2099 | 17.52 | 12.57 | 8.148 | 631.7 | 74.31 | 1009 | 444451 | 2.289 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 13.48 | 9.222 | 5.34 | 654.2 | 75.73 | 1007 | 365709 | 3.738 |
| PRINCETON | 1901-2012 | 13.23 | 9.254 | 5.083 | 558.3 | 85.32 | 999.2 | 374569 | 3.515 |
| WATCH | 1901-2001 | 13.36 | 9.063 | 5.199 | 601.4 | 76.93 | 1007 | 309798 | 2.786 |
| WFDEI | 1901-2010 | 13.47 | 9.18 | 5.229 | 607.6 | 76.54 | 1006 | 335822 | 3.017 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 13.65 | 9.321 | 5.451 | 603.6 | 81.85 | 1007 | 301382 | 2.76 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 14.79 | 10.46 | 6.531 | 640.5 | 81.71 | 1007 | 306896 | 2.984 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 15.22 | 10.84 | 6.893 | 641.6 | 81.61 | 1008 | 307086 | 2.963 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 15.19 | 10.81 | 6.876 | 637.2 | 81.55 | 1008 | 306633 | 2.938 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 15.68 | 11.25 | 7.273 | 632.4 | 81.4 | 1008 | 304045 | 2.942 |
| HadGEM2ES | historical | 1950-2004 | 13.44 | 9.1 | 5.205 | 605.3 | 76.43 | 1007 | 300671 | 2.751 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 16.2 | 11.53 | 7.39 | 603 | 73.53 | 1007 | 324752 | 2.641 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 16.96 | 12.27 | 8.101 | 591.9 | 72.4 | 1007 | 325148 | 2.692 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 16.91 | 12.23 | 8.086 | 596.4 | 72.4 | 1007 | 325800 | 2.708 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 18.06 | 13.28 | 9.086 | 604.9 | 71.57 | 1007 | 328836 | 2.671 |
| IPSLCM5ALR | historical | 1950-2005 | 13.64 | 9.327 | 5.463 | 605.5 | 77.42 | 1007 | 298839 | 2.766 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 15.71 | 11.48 | 7.713 | 667.8 | 75.69 | 1007 | 314031 | 2.713 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 16.07 | 11.87 | 8.134 | 664.1 | 75.38 | 1007 | 311371 | 2.697 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 16.09 | 11.91 | 8.196 | 669 | 75.3 | 1007 | 309354 | 2.724 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 17.17 | 12.93 | 9.153 | 660.5 | 74.27 | 1007 | 314382 | 2.675 |
| MIROCESMCHEM | historical | 1950-2005 | 13.64 | 9.273 | 5.356 | 606.3 | 89.03 | 1007 | 307006 | 2.875 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 16.44 | 11.86 | 7.829 | 687 | 88.72 | 1007 | 359300 | 2.417 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 16.42 | 11.99 | 8.091 | 689.3 | 89.36 | 1007 | 352157 | 2.302 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 16.65 | 12.09 | 8.1 | 697.3 | 88.84 | 1007 | 355831 | 2.386 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 17.67 | 13.12 | 9.157 | 717.8 | 88.84 | 1008 | 360730 | 2.305 |
| NorESM1M | historical | 1950-2005 | 13.54 | 9.203 | 5.304 | 592.9 | 80.15 | 1007 | 300126 | 2.752 |
| NorESM1M | rcp2p6 | 2006-2099 | 15.21 | 11.04 | 7.226 | 612.3 | 76.58 | 1007 | 325290 | 2.934 |
| NorESM1M | rcp4p5 | 2006-2099 | 15.73 | 11.33 | 7.336 | 601 | 76.48 | 1007 | 327757 | 2.835 |
| NorESM1M | rcp6p0 | 2006-2099 | 15.75 | 11.36 | 7.365 | 611.4 | 76.64 | 1007 | 326850 | 2.837 |
| NorESM1M | rcp8p5 | 2006-2099 | 16.43 | 11.86 | 7.761 | 625 | 76.19 | 1008 | 328316 | 2.793 |
Solling 304 is a long-term intensive forest monitoring plot (Level II) of the ICP Forests network in central Germany. The plot is also part of the LTER (site LTER_EU_DE_009) and of the permanent soil monitoring programme of the state of Lower Saxony. The site is situated in the center of the Solling plateau at an elevation of about 500 m a.s.l. The mean temperature was around 6.8°C and the mean annual rainfall amounted to 1113 mm during the period 1960-2013. The bedrock consist of Triassic sandstone covered with a 60 to 80 cm deep solifluction layer of loess material from which the soil, classified as an Haplic Cambisol, has developed. The humus type is a typical Moder. The tree layer consists only of European beech (Fagus sylvatica L.). Oxalis acetosella and Luzula luzuloides are the major species of the sparse ground vegetation. Actual vegetation was assigned to the Luzulo-Fagetum typicum and is close to the potential natural vegetation. The forest is a 168-year old stand with a mean DBH of 50 cm and a mean height of 30.7 m in 2016. More information about the site can be found in Meiwes et al. (2009), Meesenburg et al. (2009), Panferov et al. (2009), Le Mellec et al. (2010), Meesenburg et al. (2016) and Fleck et al. (2016).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 12.02 | 8.291 | 4.63 | 965.5 | 78.4 | 986 | 351220 | 3.417 |
| GFDLESM2M | piControl | 1661-2099 | 11.91 | 8.18 | 4.535 | 1020 | 80.61 | 985.8 | 350355 | 2.769 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 13.02 | 9.348 | 5.668 | 1026 | 78.29 | 986.6 | 353728 | 3.827 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.41 | 9.677 | 5.958 | 1031 | 78.23 | 986.9 | 355083 | 3.809 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.52 | 9.726 | 5.961 | 1012 | 78.09 | 987 | 359177 | 3.725 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 13.9 | 10.06 | 6.267 | 1023 | 78.27 | 987.1 | 351752 | 3.579 |
| HadGEM2ES | historical | 1861-2005 | 11.58 | 7.856 | 4.173 | 913.7 | 77.89 | 986.5 | 357000 | 3.782 |
| HadGEM2ES | piControl | 1661-2299 | 12 | 8.187 | 4.411 | 921.1 | 77.23 | 986.2 | 377726 | 3.8 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 13.97 | 10.15 | 6.42 | 1003 | 77.54 | 986 | 389972 | 3.632 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 14.9 | 11.01 | 7.185 | 957.8 | 75.18 | 986.3 | 394493 | 3.64 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 14.86 | 10.97 | 7.16 | 924.9 | 75.06 | 986.4 | 394561 | 3.69 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 15.92 | 11.93 | 8.069 | 959.9 | 74.25 | 986.6 | 404870 | 3.609 |
| IPSLCM5ALR | historical | 1861-2005 | 11.41 | 7.663 | 3.951 | 923.2 | 78.91 | 985.9 | 360181 | 3.76 |
| IPSLCM5ALR | piControl | 1661-2299 | 10.86 | 7.039 | 3.209 | 914.5 | 78.98 | 985.9 | 380260 | 3.712 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 13.63 | 10.02 | 6.474 | 1021 | 77.67 | 985.8 | 383126 | 3.671 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 14.96 | 11.32 | 7.772 | 1011 | 76.55 | 986.2 | 386531 | 3.585 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 14.11 | 10.52 | 7 | 1004 | 76.72 | 985.9 | 380464 | 3.731 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 20.08 | 16.37 | 12.77 | 1049 | 72.23 | 985.7 | 397025 | 3.511 |
| MIROC5 | historical | 1861-2005 | 11.8 | 8.118 | 4.483 | 923.5 | 78.22 | 986.3 | 354907 | 3.505 |
| MIROC5 | piControl | 1661-2299 | 12.8 | 8.766 | 4.875 | 979.5 | 76.81 | 985.8 | 404118 | 3.158 |
| MIROC5 | rcp2p6 | 2006-2299 | 13.99 | 10 | 6.031 | 1012 | 75.42 | 986.6 | 420823 | 4.025 |
| MIROC5 | rcp4p5 | 2006-2099 | 14.36 | 10.38 | 6.472 | 1038 | 76.48 | 986.6 | 410190 | 3.706 |
| MIROC5 | rcp6p0 | 2006-2099 | 14.14 | 10.17 | 6.252 | 1015 | 76.06 | 986.5 | 410564 | 3.77 |
| MIROC5 | rcp8p5 | 2006-2099 | 15.33 | 11.26 | 7.271 | 1051 | 76.07 | 986.9 | 417759 | 3.546 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 10.47 | 6.63 | 3.261 | 1107 | 85.66 | – | 288257 | 0.945 |
| GFDLESM2M | piControl | 1661-2099 | 10.38 | 6.52 | 3.164 | 1170 | 87.22 | – | 286477 | 0.766 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 11.46 | 7.687 | 4.302 | 1177 | 85.49 | – | 289601 | 1.057 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 11.85 | 8.017 | 4.594 | 1183 | 85.43 | – | 291224 | 1.053 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 11.96 | 8.066 | 4.6 | 1161 | 85.24 | – | 295942 | 1.029 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 12.35 | 8.395 | 4.908 | 1174 | 85.45 | – | 287892 | 0.989 |
| HadGEM2ES | historical | 1861-2005 | 10.28 | 6.417 | 3.001 | 1055 | 84.32 | – | 300259 | 1.027 |
| HadGEM2ES | piControl | 1661-2299 | 10.7 | 6.748 | 3.246 | 1064 | 83.67 | – | 323548 | 1.032 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 12.67 | 8.714 | 5.254 | 1159 | 84 | – | 336700 | 0.986 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 13.62 | 9.565 | 6.023 | 1107 | 81.47 | – | 340986 | 0.988 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 13.57 | 9.53 | 5.999 | 1070 | 81.3 | – | 341408 | 1.002 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 14.63 | 10.49 | 6.91 | 1111 | 80.44 | – | 352407 | 0.98 |
| IPSLCM5ALR | historical | 1861-2005 | 10.09 | 6.254 | 2.848 | 1091 | 85.38 | – | 300351 | 1.024 |
| IPSLCM5ALR | piControl | 1661-2299 | 9.544 | 5.63 | 2.115 | 1081 | 85.36 | – | 320787 | 1.01 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 12.32 | 8.613 | 5.358 | 1208 | 84.26 | – | 324713 | 1 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 13.65 | 9.914 | 6.657 | 1196 | 83.12 | – | 329105 | 0.976 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 12.8 | 9.112 | 5.882 | 1188 | 83.29 | – | 322919 | 1.016 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 18.76 | 14.96 | 11.66 | 1244 | 78.32 | – | 342016 | 0.956 |
| MIROC5 | historical | 1861-2005 | 10.53 | 6.666 | 3.273 | 1111 | 84.85 | – | 301185 | 0.96 |
| MIROC5 | piControl | 1661-2299 | 11.54 | 7.314 | 3.684 | 1179 | 83.41 | – | 354557 | 0.865 |
| MIROC5 | rcp2p6 | 2006-2299 | 12.71 | 8.549 | 4.845 | 1217 | 81.92 | – | 373206 | 1.104 |
| MIROC5 | rcp4p5 | 2006-2099 | 13.08 | 8.924 | 5.283 | 1252 | 83.08 | – | 361628 | 1.016 |
| MIROC5 | rcp6p0 | 2006-2099 | 12.86 | 8.714 | 5.062 | 1223 | 82.63 | – | 362358 | 1.034 |
| MIROC5 | rcp8p5 | 2006-2099 | 14.05 | 9.803 | 6.087 | 1265 | 82.65 | – | 370140 | 0.972 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 11.75 | 7.91 | 4.438 | 908.9 | 80.45 | 988.6 | 354952 | 3.937 |
| PRINCETON | 1901-2012 | 11.49 | 7.941 | 4.175 | 720.6 | 86.61 | 994.7 | 365007 | 3.693 |
| WATCH | 1901-2001 | 11.69 | 7.791 | 4.357 | 937.7 | 79.3 | 986 | 307616 | 2.739 |
| WFDEI | 1901-2010 | 11.79 | 7.954 | 4.455 | 940.6 | 79.22 | 986 | 331452 | 3.026 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 11.71 | 7.843 | 4.433 | 972.1 | 83.16 | 985.8 | 299367 | 2.703 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.64 | 8.812 | 5.381 | 1037 | 83.35 | 986.2 | 301939 | 2.928 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.05 | 9.158 | 5.695 | 1045 | 83.21 | 986.5 | 302757 | 2.887 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.13 | 9.202 | 5.722 | 1026 | 82.99 | 986.6 | 304269 | 2.821 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 13.52 | 9.535 | 6.02 | 1036 | 83.18 | 986.7 | 300243 | 2.765 |
| HadGEM2ES | historical | 1950-2004 | 11.55 | 7.681 | 4.258 | 970.7 | 76.56 | 985.9 | 299026 | 2.711 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 14.05 | 9.878 | 6.247 | 992.4 | 74.29 | 985.9 | 323108 | 2.6 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 14.83 | 10.62 | 6.95 | 987 | 73.25 | 986 | 323433 | 2.623 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 14.8 | 10.59 | 6.929 | 951.5 | 73.02 | 986.2 | 324949 | 2.662 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 15.86 | 11.55 | 7.837 | 993.5 | 72.38 | 986.3 | 328351 | 2.609 |
| IPSLCM5ALR | historical | 1950-2005 | 11.72 | 7.852 | 4.443 | 968.1 | 78.21 | 985.9 | 298085 | 2.733 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 13.65 | 9.858 | 6.522 | 1042 | 76.62 | 985.7 | 313461 | 2.706 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 14.02 | 10.23 | 6.914 | 1034 | 76.45 | 986.2 | 311196 | 2.673 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 14.04 | 10.28 | 6.991 | 1033 | 76.21 | 985.8 | 309603 | 2.744 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 15.07 | 11.24 | 7.876 | 1027 | 75.32 | 986 | 314994 | 2.661 |
| MIROCESMCHEM | historical | 1950-2005 | 11.65 | 7.796 | 4.39 | 983.6 | 91.49 | 985.6 | 305806 | 2.73 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 14.37 | 10.32 | 6.78 | 1124 | 91.05 | 985.9 | 363820 | 2.528 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 14.27 | 10.45 | 7.079 | 1110 | 91.75 | 986.4 | 357358 | 2.365 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 14.6 | 10.55 | 7.032 | 1122 | 90.97 | 986.1 | 361982 | 2.635 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 15.4 | 11.49 | 8.079 | 1154 | 91.42 | 986.5 | 366684 | 2.329 |
| NorESM1M | historical | 1950-2005 | 11.63 | 7.733 | 4.291 | 960.1 | 80.17 | 985.9 | 299444 | 2.7 |
| NorESM1M | rcp2p6 | 2006-2099 | 13.18 | 9.272 | 5.774 | 988.2 | 77.63 | 986.2 | 323535 | 2.79 |
| NorESM1M | rcp4p5 | 2006-2099 | 13.64 | 9.577 | 5.937 | 979 | 77.31 | 986.4 | 327072 | 2.745 |
| NorESM1M | rcp6p0 | 2006-2099 | 13.69 | 9.587 | 5.933 | 989.3 | 77.71 | 986.5 | 324772 | 2.73 |
| NorESM1M | rcp8p5 | 2006-2099 | 14.37 | 10.1 | 6.332 | 1024 | 77.31 | 986.8 | 327935 | 2.659 |
The ICOS site Sorø (DK-Sor in the FLUXNET and ICOS data bases) is located in Denmark at an elevation of 40 m.a.s.l.. The climate is warm temperate and fully humid with a mean annual temperature of 9°C and annual precipitation sum of 774 mm during the period 1996-2010. The soil has been classified as an Alfisols/Molisols. Potential natural vegetation is deciduous broad-leaved forest dominated by Fagus sylvatica. Other species occurring in the area are Fraxinus excelsior, Larix decidua, Picea abies, Quercus spp., Acer spp. However, the region is mostly used as cropland. Data on tree DBH are reconstructed from tree ring measurement (Babst et al. 2014) and historical management information for the time period from 1944 to 2010. The mean DBH of this Fagus sylvatica stand was 29 cm in the year 2010. More information about the site can be found in Ladekarl (2001), Pilegaard et al. (2003, 2011), and Wu et al. (2013).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| soro | 21 | 1996 | 8.237 | 6.093 | 3.991 | 456.8 | 84.18 | 1010 | 360945 | 4.871 |
| soro | 21 | 1997 | 10.65 | 8.277 | 5.894 | 551.8 | 81.11 | 1010 | 364713 | 5.163 |
| soro | 21 | 1998 | 10.06 | 7.834 | 5.664 | 815.9 | 85.3 | 1007 | 317789 | 5.542 |
| soro | 21 | 1999 | 11.03 | 8.621 | 6.239 | 822.9 | 84.93 | 1007 | 349664 | 5.117 |
| soro | 21 | 2000 | 11.11 | 8.79 | 6.514 | 646.2 | 84.26 | 1006 | 327691 | 5.396 |
| soro | 21 | 2001 | 10.27 | 7.891 | 5.574 | 789.4 | 84.9 | 1007 | 348938 | 4.975 |
| soro | 21 | 2002 | 11.11 | 8.665 | 6.281 | 1071 | 83.34 | 1008 | 356928 | 5.134 |
| soro | 21 | 2003 | 10.84 | 8.264 | 5.712 | 535.6 | 82.7 | 1010 | 381511 | 5.023 |
| soro | 21 | 2004 | 10.46 | 8.024 | 5.74 | 727 | 84.15 | 1007 | 348138 | 5.242 |
| soro | 21 | 2005 | 10.86 | 8.266 | 5.734 | 544.5 | 81.83 | 1009 | 363314 | 5.057 |
| soro | 21 | 2006 | 11.35 | 8.927 | 6.608 | 852.3 | 81.86 | 1008 | 368866 | 4.995 |
| soro | 21 | 2007 | 11.68 | 9.273 | 6.889 | 1154 | 81.93 | 1007 | 363945 | 5.49 |
| soro | 21 | 2008 | 11.53 | 9.205 | 6.831 | 807.5 | 80.12 | 1006 | 396308 | 5.393 |
| soro | 21 | 2009 | 11.04 | 8.595 | 6.146 | 686.3 | 80.77 | 1007 | 390994 | 5.087 |
| soro | 21 | 2010 | 9.243 | 6.883 | 4.521 | 863.2 | 84.45 | 1006 | 359982 | 4.92 |
| soro | 21 | 2011 | 11.16 | 8.714 | 6.293 | 1066 | 82.92 | 1008 | 369210 | 4.656 |
| soro | 21 | 2012 | 10.52 | 8.164 | 5.821 | 538.9 | 81.38 | 1007 | 362758 | 5.189 |
| soro | 21 | 1996-2012 | 10.66 | 8.264 | 5.909 | 760.5 | 82.95 | 1008 | 360688 | 5.132 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 11.19 | 8.683 | 6.221 | 623.8 | 77.94 | 1010 | 382664 | 4.734 |
| GFDLESM2M | piControl | 1661-2099 | 11.21 | 8.642 | 6.131 | 668.5 | 78.48 | 1009 | 383811 | 4.055 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.44 | 9.929 | 7.456 | 703.3 | 78.16 | 1009 | 388238 | 4.915 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 12.8 | 10.29 | 7.819 | 701.1 | 78.17 | 1010 | 387115 | 4.815 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 12.77 | 10.27 | 7.809 | 709 | 78.22 | 1010 | 385580 | 4.905 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 13.05 | 10.54 | 8.071 | 713.4 | 78.37 | 1010 | 381769 | 5.023 |
| HadGEM2ES | historical | 1861-2005 | 10.6 | 8.064 | 5.561 | 627.9 | 78.01 | 1010 | 383427 | 4.852 |
| HadGEM2ES | piControl | 1661-2299 | 10.94 | 8.333 | 5.778 | 629 | 77.53 | 1010 | 398756 | 4.729 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 12.9 | 10.36 | 7.895 | 674.4 | 77.77 | 1010 | 406224 | 4.653 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 13.76 | 11.16 | 8.651 | 643 | 75.76 | 1010 | 408926 | 4.777 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 13.76 | 11.15 | 8.632 | 617 | 75.45 | 1010 | 409975 | 4.776 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 14.75 | 12.12 | 9.59 | 620 | 74.49 | 1010 | 415502 | 4.688 |
| IPSLCM5ALR | historical | 1861-2005 | 10.51 | 7.97 | 5.477 | 593.2 | 78.54 | 1010 | 396035 | 4.842 |
| IPSLCM5ALR | piControl | 1661-2299 | 9.849 | 7.261 | 4.704 | 559.6 | 78.86 | 1010 | 411767 | 4.767 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 13.01 | 10.6 | 8.255 | 651.3 | 77.23 | 1009 | 410566 | 4.864 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 14.29 | 11.9 | 9.597 | 683.8 | 77.07 | 1009 | 406548 | 4.846 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 13.45 | 11.07 | 8.75 | 668.5 | 77.01 | 1009 | 403450 | 4.87 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 18.6 | 16.15 | 13.83 | 759.6 | 75.99 | 1008 | 409610 | 4.778 |
| MIROC5 | historical | 1861-2005 | 11.02 | 8.482 | 5.983 | 607.7 | 77.71 | 1010 | 383252 | 4.866 |
| MIROC5 | piControl | 1661-2299 | 11.65 | 9.041 | 6.468 | 620.8 | 76.72 | 1010 | 418197 | 4.839 |
| MIROC5 | rcp2p6 | 2006-2299 | 12.67 | 10.09 | 7.558 | 659.4 | 76.93 | 1010 | 422334 | 4.966 |
| MIROC5 | rcp4p5 | 2006-2099 | 13.05 | 10.48 | 7.963 | 677.3 | 77.04 | 1010 | 413614 | 4.916 |
| MIROC5 | rcp6p0 | 2006-2099 | 12.91 | 10.33 | 7.801 | 679.7 | 76.99 | 1010 | 414534 | 4.89 |
| MIROC5 | rcp8p5 | 2006-2099 | 13.92 | 11.35 | 8.835 | 694.1 | 76.79 | 1010 | 419993 | 4.809 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 10.33 | 7.942 | 5.582 | 721.5 | 82.63 | 1008 | 362952 | 4.983 |
| GFDLESM2M | piControl | 1661-2099 | 10.35 | 7.902 | 5.495 | 774.5 | 83.08 | 1008 | 363278 | 4.267 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 11.58 | 9.187 | 6.816 | 813.3 | 82.84 | 1008 | 368115 | 5.17 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 11.94 | 9.548 | 7.18 | 810 | 82.85 | 1008 | 367687 | 5.065 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 11.91 | 9.527 | 7.17 | 821.7 | 82.9 | 1008 | 365701 | 5.161 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 12.19 | 9.795 | 7.431 | 827.1 | 83.04 | 1008 | 360531 | 5.284 |
| HadGEM2ES | historical | 1861-2005 | 9.458 | 7.09 | 4.742 | 788 | 83.4 | 1009 | 350876 | 5.115 |
| HadGEM2ES | piControl | 1661-2299 | 9.787 | 7.358 | 4.961 | 791.2 | 83.04 | 1008 | 366089 | 4.986 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 11.75 | 9.385 | 7.074 | 845.6 | 83.27 | 1008 | 375434 | 4.906 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 12.61 | 10.19 | 7.835 | 802 | 81.44 | 1008 | 380892 | 5.033 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 12.61 | 10.18 | 7.816 | 768.8 | 81.1 | 1008 | 381824 | 5.034 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 13.6 | 11.15 | 8.775 | 768.7 | 80.16 | 1008 | 389268 | 4.94 |
| IPSLCM5ALR | historical | 1861-2005 | 9.524 | 7.088 | 4.683 | 700.8 | 83.21 | 1008 | 371379 | 5.186 |
| IPSLCM5ALR | piControl | 1661-2299 | 8.858 | 6.379 | 3.91 | 657.5 | 83.37 | 1009 | 388525 | 5.106 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 12.03 | 9.721 | 7.461 | 769.2 | 82.09 | 1008 | 388732 | 5.207 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 13.31 | 11.02 | 8.803 | 807.3 | 81.94 | 1008 | 385451 | 5.188 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 12.47 | 10.18 | 7.954 | 790.5 | 81.9 | 1008 | 381155 | 5.213 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 17.62 | 15.27 | 13.03 | 890 | 80.81 | 1007 | 392402 | 5.11 |
| MIROC5 | historical | 1861-2005 | 9.821 | 7.401 | 5.006 | 696.8 | 82.73 | 1008 | 347706 | 5.184 |
| MIROC5 | piControl | 1661-2299 | 10.45 | 7.961 | 5.496 | 711.7 | 81.76 | 1008 | 387094 | 5.157 |
| MIROC5 | rcp2p6 | 2006-2299 | 11.47 | 9.012 | 6.585 | 758.3 | 82.01 | 1008 | 394128 | 5.292 |
| MIROC5 | rcp4p5 | 2006-2099 | 11.85 | 9.401 | 6.987 | 777.3 | 82.11 | 1008 | 382168 | 5.239 |
| MIROC5 | rcp6p0 | 2006-2099 | 11.71 | 9.248 | 6.825 | 781.1 | 82.05 | 1008 | 384043 | 5.211 |
| MIROC5 | rcp8p5 | 2006-2099 | 12.72 | 10.27 | 7.861 | 798 | 81.86 | 1009 | 392196 | 5.124 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 11 | 8.354 | 5.826 | 752.1 | 79.33 | 1012 | 375446 | 5.858 |
| PRINCETON | 1901-2012 | 10.87 | 8.378 | 5.686 | 564.2 | 81.23 | 1005 | 364635 | 4.881 |
| WATCH | 1901-2001 | 10.78 | 8.035 | 5.786 | 573.8 | 81.87 | 1010 | 336352 | 5.623 |
| WFDEI | 1901-2010 | 10.88 | 8.187 | 5.883 | 593.4 | 82.41 | 1010 | 356059 | 5.397 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 10.98 | 8.242 | 6.003 | 593 | 83.34 | 1009 | 327403 | 5.615 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.12 | 9.407 | 7.168 | 659.2 | 83.49 | 1009 | 332607 | 5.765 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 12.5 | 9.771 | 7.529 | 659.6 | 83.46 | 1009 | 332156 | 5.642 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 12.47 | 9.747 | 7.512 | 662.8 | 83.48 | 1010 | 331052 | 5.733 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 12.77 | 10.03 | 7.787 | 668.4 | 83.66 | 1010 | 327666 | 5.812 |
| HadGEM2ES | historical | 1950-2004 | 10.81 | 8.061 | 5.809 | 591.4 | 77.63 | 1010 | 327021 | 5.559 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 13.02 | 10.13 | 7.805 | 587.2 | 75.87 | 1010 | 347866 | 5.306 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 13.76 | 10.87 | 8.534 | 591.7 | 75.11 | 1009 | 348432 | 5.38 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 13.75 | 10.84 | 8.502 | 568.5 | 74.8 | 1010 | 349615 | 5.411 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 14.76 | 11.82 | 9.466 | 573.7 | 73.96 | 1010 | 352993 | 5.282 |
| IPSLCM5ALR | historical | 1950-2005 | 10.97 | 8.23 | 5.988 | 591.6 | 80.66 | 1009 | 328549 | 5.621 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 13.17 | 10.53 | 8.356 | 633.1 | 79.28 | 1009 | 341696 | 5.62 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 13.56 | 10.94 | 8.809 | 649.7 | 79.34 | 1009 | 339131 | 5.643 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 13.56 | 10.96 | 8.832 | 645.7 | 79.25 | 1009 | 336854 | 5.648 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 14.44 | 11.81 | 9.668 | 656 | 78.88 | 1009 | 341302 | 5.606 |
| MIROCESMCHEM | historical | 1950-2005 | 10.89 | 8.135 | 5.881 | 604.3 | 88.8 | 1009 | 332272 | 5.605 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 13.73 | 10.79 | 8.44 | 728 | 87.46 | 1009 | 379324 | 5.692 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 13.94 | 11.02 | 8.68 | 729.3 | 87.62 | 1009 | 374735 | 5.765 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 14.02 | 11.11 | 8.757 | 728.8 | 87.29 | 1009 | 377032 | 5.794 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 15 | 12.08 | 9.736 | 760.2 | 87.23 | 1009 | 381137 | 5.816 |
| NorESM1M | historical | 1950-2005 | 10.89 | 8.157 | 5.917 | 586.4 | 80.34 | 1010 | 328304 | 5.599 |
| NorESM1M | rcp2p6 | 2006-2099 | 12.36 | 9.568 | 7.283 | 602.8 | 79.03 | 1010 | 349078 | 5.702 |
| NorESM1M | rcp4p5 | 2006-2099 | 12.77 | 9.913 | 7.57 | 593.2 | 78.65 | 1010 | 351276 | 5.661 |
| NorESM1M | rcp6p0 | 2006-2099 | 12.76 | 9.953 | 7.656 | 581.9 | 78.62 | 1010 | 350688 | 5.79 |
| NorESM1M | rcp8p5 | 2006-2099 | 13.35 | 10.46 | 8.105 | 602.9 | 78.12 | 1010 | 352487 | 5.666 |
Solling 305 is also a long-term intensive forest monitoring plot of the ICP Forests Level II network in central Germany. As the Solling beech site it belongs to the LTER (site LTER_EU_DE_009) and is a permanent soil monitoring plot of the state of Lower Saxony. It is situated close to the Solling beech site at an elevation of about 508 m a.s.l and has similar site conditions as the Solling beech stand. Potential natural vegetation is a Luzulo luzuloido Fagetum. Dominant species of the actual ground vegetation are Vaccinium myrtillus, Polytrichum formosum and Dechampsia flexuosa (Bolte et al. 2004). The forest is a 133-year old Norway spruce (Picea abies) stand with a mean DBH of 46.6 cm and a mean height of 33.1 m in 2016. More information about the site can be found in Le Mellec et al. (2010), Bonten et al. (2011), Meesenburg et al. (2016), Fleck et al. (2016) and Wegehenkel et al. (2017).
The following data is available for the site
| SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 12.02 | 8.291 | 4.63 | 965.5 | 78.4 | 986 | 351220 | 3.417 |
| GFDLESM2M | piControl | 1661-2099 | 11.91 | 8.18 | 4.535 | 1020 | 80.61 | 985.8 | 350355 | 2.769 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 13.02 | 9.348 | 5.668 | 1026 | 78.29 | 986.6 | 353728 | 3.827 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.41 | 9.677 | 5.958 | 1031 | 78.23 | 986.9 | 355083 | 3.809 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.52 | 9.726 | 5.961 | 1012 | 78.09 | 987 | 359177 | 3.725 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 13.9 | 10.06 | 6.267 | 1023 | 78.27 | 987.1 | 351752 | 3.579 |
| HadGEM2ES | historical | 1861-2005 | 11.58 | 7.856 | 4.173 | 913.7 | 77.89 | 986.5 | 357000 | 3.782 |
| HadGEM2ES | piControl | 1661-2299 | 12 | 8.187 | 4.411 | 921.1 | 77.23 | 986.2 | 377726 | 3.8 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 13.97 | 10.15 | 6.42 | 1003 | 77.54 | 986 | 389972 | 3.632 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 14.9 | 11.01 | 7.185 | 957.8 | 75.18 | 986.3 | 394493 | 3.64 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 14.86 | 10.97 | 7.16 | 924.9 | 75.06 | 986.4 | 394561 | 3.69 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 15.92 | 11.93 | 8.069 | 959.9 | 74.25 | 986.6 | 404870 | 3.609 |
| IPSLCM5ALR | historical | 1861-2005 | 11.41 | 7.663 | 3.951 | 923.2 | 78.91 | 985.9 | 360181 | 3.76 |
| IPSLCM5ALR | piControl | 1661-2299 | 10.86 | 7.039 | 3.209 | 914.5 | 78.98 | 985.9 | 380260 | 3.712 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 13.63 | 10.02 | 6.474 | 1021 | 77.67 | 985.8 | 383126 | 3.671 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 14.96 | 11.32 | 7.772 | 1011 | 76.55 | 986.2 | 386531 | 3.585 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 14.11 | 10.52 | 7 | 1004 | 76.72 | 985.9 | 380464 | 3.731 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 20.08 | 16.37 | 12.77 | 1049 | 72.23 | 985.7 | 397025 | 3.511 |
| MIROC5 | historical | 1861-2005 | 11.8 | 8.118 | 4.483 | 923.5 | 78.22 | 986.3 | 354907 | 3.505 |
| MIROC5 | piControl | 1661-2299 | 12.8 | 8.766 | 4.875 | 979.5 | 76.81 | 985.8 | 404118 | 3.158 |
| MIROC5 | rcp2p6 | 2006-2299 | 13.99 | 10 | 6.031 | 1012 | 75.42 | 986.6 | 420823 | 4.025 |
| MIROC5 | rcp4p5 | 2006-2099 | 14.36 | 10.38 | 6.472 | 1038 | 76.48 | 986.6 | 410190 | 3.706 |
| MIROC5 | rcp6p0 | 2006-2099 | 14.14 | 10.17 | 6.252 | 1015 | 76.06 | 986.5 | 410564 | 3.77 |
| MIROC5 | rcp8p5 | 2006-2099 | 15.33 | 11.26 | 7.271 | 1051 | 76.07 | 986.9 | 417759 | 3.546 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 10.47 | 6.63 | 3.261 | 1107 | 85.66 | – | 288257 | 0.945 |
| GFDLESM2M | piControl | 1661-2099 | 10.38 | 6.52 | 3.164 | 1170 | 87.22 | – | 286477 | 0.766 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 11.46 | 7.687 | 4.302 | 1177 | 85.49 | – | 289601 | 1.057 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 11.85 | 8.017 | 4.594 | 1183 | 85.43 | – | 291224 | 1.053 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 11.96 | 8.066 | 4.6 | 1161 | 85.24 | – | 295942 | 1.029 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 12.35 | 8.395 | 4.908 | 1174 | 85.45 | – | 287892 | 0.989 |
| HadGEM2ES | historical | 1861-2005 | 10.28 | 6.417 | 3.001 | 1055 | 84.32 | – | 300259 | 1.027 |
| HadGEM2ES | piControl | 1661-2299 | 10.7 | 6.748 | 3.246 | 1064 | 83.67 | – | 323548 | 1.032 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 12.67 | 8.714 | 5.254 | 1159 | 84 | – | 336700 | 0.986 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 13.62 | 9.565 | 6.023 | 1107 | 81.47 | – | 340986 | 0.988 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 13.57 | 9.53 | 5.999 | 1070 | 81.3 | – | 341408 | 1.002 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 14.63 | 10.49 | 6.91 | 1111 | 80.44 | – | 352407 | 0.98 |
| IPSLCM5ALR | historical | 1861-2005 | 10.09 | 6.254 | 2.848 | 1091 | 85.38 | – | 300351 | 1.024 |
| IPSLCM5ALR | piControl | 1661-2299 | 9.544 | 5.63 | 2.115 | 1081 | 85.36 | – | 320787 | 1.01 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 12.32 | 8.613 | 5.358 | 1208 | 84.26 | – | 324713 | 1 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 13.65 | 9.914 | 6.657 | 1196 | 83.12 | – | 329105 | 0.976 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 12.8 | 9.112 | 5.882 | 1188 | 83.29 | – | 322919 | 1.016 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 18.76 | 14.96 | 11.66 | 1244 | 78.32 | – | 342016 | 0.956 |
| MIROC5 | historical | 1861-2005 | 10.53 | 6.666 | 3.273 | 1111 | 84.85 | – | 301185 | 0.96 |
| MIROC5 | piControl | 1661-2299 | 11.54 | 7.314 | 3.684 | 1179 | 83.41 | – | 354557 | 0.865 |
| MIROC5 | rcp2p6 | 2006-2299 | 12.71 | 8.549 | 4.845 | 1217 | 81.92 | – | 373206 | 1.104 |
| MIROC5 | rcp4p5 | 2006-2099 | 13.08 | 8.924 | 5.283 | 1252 | 83.08 | – | 361628 | 1.016 |
| MIROC5 | rcp6p0 | 2006-2099 | 12.86 | 8.714 | 5.062 | 1223 | 82.63 | – | 362358 | 1.034 |
| MIROC5 | rcp8p5 | 2006-2099 | 14.05 | 9.803 | 6.087 | 1265 | 82.65 | – | 370140 | 0.972 |
| forcingDataset | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|
| GSWP3 | 1901-2010 | 11.75 | 7.91 | 4.438 | 908.9 | 80.45 | 988.6 | 354952 | 3.937 |
| PRINCETON | 1901-2012 | 11.49 | 7.941 | 4.175 | 720.6 | 86.61 | 994.7 | 365007 | 3.693 |
| WATCH | 1901-2001 | 11.69 | 7.791 | 4.357 | 937.7 | 79.3 | 986 | 307616 | 2.739 |
| WFDEI | 1901-2010 | 11.79 | 7.954 | 4.455 | 940.6 | 79.22 | 986 | 331452 | 3.026 |
| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1950-2005 | 11.71 | 7.843 | 4.433 | 972.1 | 83.16 | 985.8 | 299367 | 2.703 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.64 | 8.812 | 5.381 | 1037 | 83.35 | 986.2 | 301939 | 2.928 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.05 | 9.158 | 5.695 | 1045 | 83.21 | 986.5 | 302757 | 2.887 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.13 | 9.202 | 5.722 | 1026 | 82.99 | 986.6 | 304269 | 2.821 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 13.52 | 9.535 | 6.02 | 1036 | 83.18 | 986.7 | 300243 | 2.765 |
| HadGEM2ES | historical | 1950-2004 | 11.55 | 7.681 | 4.258 | 970.7 | 76.56 | 985.9 | 299026 | 2.711 |
| HadGEM2ES | rcp2p6 | 2005-2099 | 14.05 | 9.878 | 6.247 | 992.4 | 74.29 | 985.9 | 323108 | 2.6 |
| HadGEM2ES | rcp4p5 | 2005-2099 | 14.83 | 10.62 | 6.95 | 987 | 73.25 | 986 | 323433 | 2.623 |
| HadGEM2ES | rcp6p0 | 2005-2099 | 14.8 | 10.59 | 6.929 | 951.5 | 73.02 | 986.2 | 324949 | 2.662 |
| HadGEM2ES | rcp8p5 | 2005-2099 | 15.86 | 11.55 | 7.837 | 993.5 | 72.38 | 986.3 | 328351 | 2.609 |
| IPSLCM5ALR | historical | 1950-2005 | 11.72 | 7.852 | 4.443 | 968.1 | 78.21 | 985.9 | 298085 | 2.733 |
| IPSLCM5ALR | rcp2p6 | 2006-2099 | 13.65 | 9.858 | 6.522 | 1042 | 76.62 | 985.7 | 313461 | 2.706 |
| IPSLCM5ALR | rcp4p5 | 2006-2099 | 14.02 | 10.23 | 6.914 | 1034 | 76.45 | 986.2 | 311196 | 2.673 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 14.04 | 10.28 | 6.991 | 1033 | 76.21 | 985.8 | 309603 | 2.744 |
| IPSLCM5ALR | rcp8p5 | 2006-2099 | 15.07 | 11.24 | 7.876 | 1027 | 75.32 | 986 | 314994 | 2.661 |
| MIROCESMCHEM | historical | 1950-2005 | 11.65 | 7.796 | 4.39 | 983.6 | 91.49 | 985.6 | 305806 | 2.73 |
| MIROCESMCHEM | rcp2p6 | 2006-2099 | 14.37 | 10.32 | 6.78 | 1124 | 91.05 | 985.9 | 363820 | 2.528 |
| MIROCESMCHEM | rcp4p5 | 2006-2099 | 14.27 | 10.45 | 7.079 | 1110 | 91.75 | 986.4 | 357358 | 2.365 |
| MIROCESMCHEM | rcp6p0 | 2006-2099 | 14.6 | 10.55 | 7.032 | 1122 | 90.97 | 986.1 | 361982 | 2.635 |
| MIROCESMCHEM | rcp8p5 | 2006-2099 | 15.4 | 11.49 | 8.079 | 1154 | 91.42 | 986.5 | 366684 | 2.329 |
| NorESM1M | historical | 1950-2005 | 11.63 | 7.733 | 4.291 | 960.1 | 80.17 | 985.9 | 299444 | 2.7 |
| NorESM1M | rcp2p6 | 2006-2099 | 13.18 | 9.272 | 5.774 | 988.2 | 77.63 | 986.2 | 323535 | 2.79 |
| NorESM1M | rcp4p5 | 2006-2099 | 13.64 | 9.577 | 5.937 | 979 | 77.31 | 986.4 | 327072 | 2.745 |
| NorESM1M | rcp6p0 | 2006-2099 | 13.69 | 9.587 | 5.933 | 989.3 | 77.71 | 986.5 | 324772 | 2.73 |
| NorESM1M | rcp8p5 | 2006-2099 | 14.37 | 10.1 | 6.332 | 1024 | 77.31 | 986.8 | 327935 | 2.659 |
This package serves as interface for users that want to access the PROFOUND data. Two main functions are included to achieve this goal: a getData function for downloading data form the database and a plotData function to quickly inspect any variable of the datasets.
Currently, the functions permit to download data from one location and one dataset at a time. For downloading data of more than one dataset or of more than one location, the function should be called as many times as locations or datasets. Additionally, flags and other parameters can be passed to the functions.
This is just a preliminary version of both package and database. As user, please test the functions and provide feedback on what could be improved.
Before installing the package, you should have the following packages available:
Once you have installed the package, it is time to use it. After loading ProfoundData, the first step is to call the setDB. This function will create a database object. It requires from you a valid absolute path to the PROFOUNDData database. So lets start!
library(ProfoundData)
setDB("/home/ramiro/ownCloud/PROFOUND_Data/v0.1.13/ProfoundData.sqlite")## /home/ramiro/ownCloud/PROFOUND_Data/v0.1.13/ProfoundData.sqlite
## Database version is 0.1.13
To check the database you can use the use getDB, which returns the database path and also informs on the database version.
getDB()The browseData function allows you to see what data is included in the database and for what locations the data is available. Currently you will find that for several locations the data is not available.
overview <- browseData()
knitr::kable(overview, align = "l")| site_id | site | SITES | TREE | STAND | SOIL | CLIMATE_LOCAL | CLIMATE_ISIMIP2B | CLIMATE_ISIMIP2BLBC | CLIMATE_ISIMIP2A | CLIMATE_ISIMIPFT | METEOROLOGICAL | FLUX | ATMOSPHERICHEATCONDUCTION | SOILTS | NDEPOSITION_EMEP | NDEPOSITION_ISIMIP2B | CO2_ISIMIP | MODIS_MOD09A1 | MODIS_MOD15A2 | MODIS_MOD11A2 | MODIS_MOD13Q1 | MODIS_MOD17A2 | MODIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | bily_kriz | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 5 | collelongo | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12 | hyytiala | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 13 | kroof | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 14 | le_bray | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 16 | peitz | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 20 | solling_beech | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 21 | soro | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 25 | solling_spruce | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Hint: If you set collapse to FALSE, you will get the full version of the overview table
overview <- browseData(collapse = F)Besides returning the overview, browseData allows to check:
tables <- browseData(dataset = "DATASETS")variables <- browseData(dataset = "CLIMATE_LOCAL", variables = T)available <- browseData(dataset = "CLIMATE_LOCAL")available <- browseData(location ="le_bray")available <- browseData(location ="le_bray",dataset = "CLIMATE_LOCAL")version <- browseData(dataset = "VERSION")metadata <- browseData(dataset = "METADATA_DATASETS")
metadata <- browseData(dataset = "METADATA_CLIMATE_LOCAL")Hint: You can also pass a location to check the specific site metadata
metadata <- browseData(dataset = "METADATA_TREE", location = "solling_spruce")source <- browseData(dataset = "SOURCE")Hint: You can also pass a location to check the specific site source
source <- browseData(dataset = "SOURCE", location = "solling_spruce")source <- browseData(dataset = "POLICY")Hint: You can also pass a location to check the specific site source
policy <- browseData(dataset = "POLICY", location = "solling_spruce")The getData allows to download data from the PROFOUND database. The returned object will be a dataframe or list of dataframes, depending on the data that has been requested.
To obtain the site information, use getData to download the table SITES
data <-getData(dataset = "SITES")
names(data)## [1] "site_id" "site"
## [3] "lat" "lon"
## [5] "epsg" "country"
## [7] "aspect_deg" "elevation_masl"
## [9] "slope_percent" "natVegetation_code1"
## [11] "natVegetation_code2" "natVegetation_description"
Optionally, you can specify a site
data <-getData(dataset = "SITES", location = "soro")
knitr::kable(data, row.names = F)| site_id | site | lat | lon | epsg | country | aspect_deg | elevation_masl | slope_percent | natVegetation_code1 | natVegetation_code2 | natVegetation_description |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | soro | 55.48584 | 11.64462 | 4326 | Denmark | NA | 40 | 0 | F.5.2.1 | F108 | South Scandinavian-north Central European Galium odoratum- and Milium effusum-beech forests (Fagus sylvatica), partly with Fraxinus excelsior, partly with Stellaria nemorum subsp. Montana, Luzula sylvatica, Polygonatum verticillatum, Ranunculus lanuginosus, Cardamine bulbifera |
A text description can be obtained from SITEDESCRIPTION
soro <-getData(dataset = "SITEDESCRIPTION", location = "soro")
soro$description## [1] "The ICOS site Sorø (DK-Sor in the FLUXNET and ICOS data bases) is located in Denmark at an elevation of 40 m.a.s.l.. The climate is warm temperate and fully humid with a mean annual temperature of 9°C and annual precipitation sum of 774 mm during the period 1996-2010. The soil has been classified as an Alfisols/Molisols. Potential natural vegetation is deciduous broad-leaved forest dominated by Fagus sylvatica. Other species occurring in the area are Fraxinus excelsior, Larix decidua, Picea abies, Quercus spp., Acer spp. However, the region is mostly used as cropland. Data on tree DBH are reconstructed from tree ring measurement (Babst et al. 2014) and historical management information for the time period from 1944 to 2010. The mean DBH of this Fagus sylvatica stand was 29 cm in the year 2010. More information about the site can be found in Ladekarl (2001), Pilegaard et al. (2003, 2011), and Wu et al. (2013)."
To download any dataset, you have to provide a dataset name and a location
data <-getData( dataset = "CLIMATE_LOCAL", location = "soro")This option specifies wether the returned data should be data frame or a list of data frames. This argument is relevant when dowloading data from SOIL or ISIMIP datasets.
For ISIMIP datasets, by setting collapse to FALSE youwill obtain a list with dataframes, named after the forcing datasets and conditions. Otherwise, the data will return in a unique data frame.
data <- getData(dataset ="CLIMATE_ISIMIP2A", location = "soro", collapse = F)
names(data)## [1] "GSWP3" "PRINCETON" "WATCH" "WFDEI"
names(data[[1]])## [1] "record_id" "site" "site_id" "date"
## [5] "forcingDataset" "day" "mo" "year"
## [9] "tmax_degC" "tmean_degC" "tmin_degC" "p_mm"
## [13] "relhum_percent" "airpress_hPa" "rad_Jcm2day" "wind_ms"
We recommend always use unset collapse when downloading SOIL data, becuase in many cases SOIL is a collection of tables.
data <- getData(dataset ="SOIL", location = "soro", collapse = F)
str(data, 1)## List of 5
## $ :'data.frame': 1 obs. of 8 variables:
## $ :'data.frame': 5 obs. of 16 variables:
## $ :'data.frame': 3 obs. of 12 variables:
## $ :'data.frame': 1 obs. of 14 variables:
## $ :'data.frame': 5 obs. of 12 variables:
names(data[[1]])## [1] "record_id" "site" "site_id" "table_id"
## [5] "layer_id" "upperDepth_cm" "lowerDepth_cm" "type_fao"
When downloading ISIMIP datasets, regaradless of whether it is climate, nitrogen deposition or CO2 data, you might want to select specific forcing datasets and/or conditions. With the function arguments forcingDataset and forcingConditions is possible, respectively.
data <- getData( dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6")
knitr::kable(head(data), align = "l")| record_id | site | site_id | date | forcingDataset | forcingConditions | day | mo | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2194374 | soro | 21 | 2006-01-01 | GFDLESM2M | rcp2p6 | 1 | 1 | 2006 | 4.795770 | 3.271880 | -0.661963 | 3.5799900 | 83.6211 | 984.678 | 213.688 | 8.91397 |
| 2194375 | soro | 21 | 2006-01-02 | GFDLESM2M | rcp2p6 | 2 | 1 | 2006 | 2.531210 | -1.260170 | -3.237280 | 0.0000000 | 80.6147 | 1000.790 | 170.412 | 6.49315 |
| 2194376 | soro | 21 | 2006-01-03 | GFDLESM2M | rcp2p6 | 3 | 1 | 2006 | -1.635780 | -2.116130 | -2.662660 | 0.0000000 | 71.5942 | 1001.730 | 253.197 | 2.98789 |
| 2194377 | soro | 21 | 2006-01-04 | GFDLESM2M | rcp2p6 | 4 | 1 | 2006 | 0.781488 | -0.917487 | -2.497320 | 0.0000000 | 73.3637 | 1001.090 | 239.468 | 4.16723 |
| 2194378 | soro | 21 | 2006-01-05 | GFDLESM2M | rcp2p6 | 5 | 1 | 2006 | 0.856897 | 0.441339 | -0.221411 | 0.0725665 | 83.6679 | 998.288 | 169.763 | 6.15931 |
| 2194379 | soro | 21 | 2006-01-06 | GFDLESM2M | rcp2p6 | 6 | 1 | 2006 | 2.576410 | 0.935022 | 0.253656 | 0.5808390 | 86.0278 | 1006.040 | 148.146 | 6.08605 |
The abote getData call is actually equivalent to
data <- getData(dataset ="CLIMATE_ISIMIP2B_GFDLESM2M_rcp2p6", location ="soro")
knitr::kable(head(data), align = "l")| record_id | site | site_id | date | forcingDataset | forcingConditions | day | mo | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2194374 | soro | 21 | 2006-01-01 | GFDLESM2M | rcp2p6 | 1 | 1 | 2006 | 4.795770 | 3.271880 | -0.661963 | 3.5799900 | 83.6211 | 984.678 | 213.688 | 8.91397 |
| 2194375 | soro | 21 | 2006-01-02 | GFDLESM2M | rcp2p6 | 2 | 1 | 2006 | 2.531210 | -1.260170 | -3.237280 | 0.0000000 | 80.6147 | 1000.790 | 170.412 | 6.49315 |
| 2194376 | soro | 21 | 2006-01-03 | GFDLESM2M | rcp2p6 | 3 | 1 | 2006 | -1.635780 | -2.116130 | -2.662660 | 0.0000000 | 71.5942 | 1001.730 | 253.197 | 2.98789 |
| 2194377 | soro | 21 | 2006-01-04 | GFDLESM2M | rcp2p6 | 4 | 1 | 2006 | 0.781488 | -0.917487 | -2.497320 | 0.0000000 | 73.3637 | 1001.090 | 239.468 | 4.16723 |
| 2194378 | soro | 21 | 2006-01-05 | GFDLESM2M | rcp2p6 | 5 | 1 | 2006 | 0.856897 | 0.441339 | -0.221411 | 0.0725665 | 83.6679 | 998.288 | 169.763 | 6.15931 |
| 2194379 | soro | 21 | 2006-01-06 | GFDLESM2M | rcp2p6 | 6 | 1 | 2006 | 2.576410 | 0.935022 | 0.253656 | 0.5808390 | 86.0278 | 1006.040 | 148.146 | 6.08605 |
For any dataset, it is possible to define the variable or variables to be downloaded
data <- getData(dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6",
variables = "p_mm")
knitr::kable(head(data), align = "l")| record_id | site | site_id | date | year | day | mo | forcingDataset | forcingConditions | p_mm |
|---|---|---|---|---|---|---|---|---|---|
| 2194374 | soro | 21 | 2006-01-01 | 2006 | 1 | 1 | GFDLESM2M | rcp2p6 | 3.5799900 |
| 2194375 | soro | 21 | 2006-01-02 | 2006 | 2 | 1 | GFDLESM2M | rcp2p6 | 0.0000000 |
| 2194376 | soro | 21 | 2006-01-03 | 2006 | 3 | 1 | GFDLESM2M | rcp2p6 | 0.0000000 |
| 2194377 | soro | 21 | 2006-01-04 | 2006 | 4 | 1 | GFDLESM2M | rcp2p6 | 0.0000000 |
| 2194378 | soro | 21 | 2006-01-05 | 2006 | 5 | 1 | GFDLESM2M | rcp2p6 | 0.0725665 |
| 2194379 | soro | 21 | 2006-01-06 | 2006 | 6 | 1 | GFDLESM2M | rcp2p6 | 0.5808390 |
When downloading TREE or STAND data, you can select species with the argument species. It takes both full species name or the species id.
data <- getData(dataset ="TREE", location ="hyytiala", species = "Pinus sylvestris")data <- getData( location ="hyytiala", dataset ="TREE", species = "pisy")For time series data, it is possible to subset the data to a specific period.
data <- getData(dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6",
period = c("2006-01-01","2006-12-31"))
range(data$date)## [1] "2006-01-01" "2006-12-31"
Some datasets, such as CLIMATE_LOCAL or FLUX, have qualitfy flags to indicate how the data were obtained. Please be aware of the values of quality flags before using this option, the definition of the flags is available in the metadata.
When passing a quality flag value, you should also define how the thresholding should be applied. Values out the selected range will be dropped from the data based on your query.
data <- getData(dataset = "CLIMATE_LOCAL", location = "soro", period = c("2011-01-01","2012-12-31"), quality = 1, decreasing = FALSE)data <- getData(dataset = "FLUX", location = "soro", period = c("2011-01-01","2012-12-31"), quality = 0, decreasing = TRUE)The plotData function performs a query to the database, downloads the data, applies the desired options (time period, quality flag) and shapes the final data into a time series for plotting. It requires a dataset name and a location. Check the help files to see what datasets are supported.
A simple plot call looks like
plotData(dataset = "CLIMATE_LOCAL", location = "le_bray", automaticPanels = TRUE)Or for tree data
plotData(dataset = "TREE", location = "solling_beech", automaticPanels = TRUE) Note that argument automaticPanels that defines whether the plot in a panel.
Besides, it support the same options than getData
plotData(dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6", automaticPanels = TRUE)plotData(dataset ="CLIMATE_ISIMIP2B",location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6",
variables = "p_mm")plotData(dataset ="TREE", location ="hyytiala", species = "Pinus sylvestris", automaticPanels = TRUE)plotData("CLIMATE_LOCAL", "soro", period = c("2011-01-01","2012-12-31"))plotData("CLIMATE_LOCAL", "soro", period = c("2011-01-01","2012-12-31"), quality = 1, decreasing = FALSE)plotData("FLUX", "soro", period = c("2011-01-01","2012-12-31"), quality = 0, decreasing = TRUE) - aggregate
You can also aggregate data by defining aggregate and FUN. The data can by aggregated by day, month,year or date, and any statistic is supported such as median
plotData(dataset = "CLIMATE_ISIMIP2B", location ="soro", forcingDataset= "GFDLESM2M",
forcingCondition="rcp2p6", variables = "tmax_degC", period = c("2020-01-01", "2022-01-01"),
aggregate = "month", FUN =median, automaticPanels = FALSE)The summarizeData allows to obtain data summaries from the PROFOUNDData database of climatic datasets and the TREE dataset.
data <-summarizeData(dataset = "TREE", location = "bily_kriz")
kable(data, row.names = F)| site | site_id | year | species | species_id | size_m2 | density_treeha | dbhDQ_cm | dbhArith_cm | dbhBA_cm | heightArith_m | heightBA_m | ba_m2ha |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| bily_kriz | 3 | 1997 | Picea abies | piab | 2500 | 2408 | 7.391285 | 7.112625 | 8.160837 | 5.631395 | 6.263354 | 10.33204 |
| bily_kriz | 3 | 1998 | Picea abies | piab | 2500 | 2396 | 8.106565 | 7.834391 | 8.863961 | 6.339399 | 6.957685 | 12.36660 |
| bily_kriz | 3 | 1999 | Picea abies | piab | 2500 | 2392 | 8.786736 | 8.504013 | 9.574108 | 6.880936 | 7.499656 | 14.50461 |
| bily_kriz | 3 | 2000 | Picea abies | piab | 2500 | 2388 | 9.415671 | 9.115075 | 10.253861 | 7.497990 | 8.129110 | 16.62749 |
| bily_kriz | 3 | 2001 | Picea abies | piab | 2500 | 1848 | 10.506718 | 10.232468 | 11.265544 | 8.426840 | 8.988191 | 16.02234 |
| bily_kriz | 3 | 2002 | Picea abies | piab | 2500 | 1836 | 11.264091 | 10.981264 | 12.048025 | 9.134423 | 9.692305 | 18.29594 |
| bily_kriz | 3 | 2003 | Picea abies | piab | 2500 | 1836 | 11.955024 | 11.661656 | 12.766838 | 9.801089 | 10.367013 | 20.60931 |
| bily_kriz | 3 | 2004 | Picea abies | piab | 2500 | 1668 | 12.869809 | 12.603837 | 13.621369 | 10.495923 | 10.976840 | 21.69852 |
| bily_kriz | 3 | 2005 | Picea abies | piab | 2500 | 1664 | 13.581622 | 13.299760 | 14.377679 | 11.198077 | 11.690715 | 24.10718 |
| bily_kriz | 3 | 2006 | Picea abies | piab | 2500 | 1580 | 14.278164 | 13.988861 | 15.087051 | 11.515190 | 12.049585 | 25.29832 |
| bily_kriz | 3 | 2007 | Picea abies | piab | 2500 | 1508 | 14.851371 | 14.574801 | 15.631127 | 11.997878 | 12.487173 | 26.12307 |
| bily_kriz | 3 | 2008 | Picea abies | piab | 2500 | 1500 | 15.585562 | 15.301067 | 16.384768 | 12.359733 | 12.868074 | 28.61713 |
| bily_kriz | 3 | 2009 | Picea abies | piab | 2500 | 1492 | 16.186739 | 15.885791 | 17.033125 | 12.892992 | 13.426940 | 30.70276 |
| bily_kriz | 3 | 2010 | Picea abies | piab | 2500 | 1488 | 16.688517 | 16.372850 | 17.570925 | 13.436828 | 13.994286 | 32.54830 |
| bily_kriz | 3 | 2011 | Picea abies | piab | 2500 | 1488 | 17.270525 | 16.935753 | 18.203030 | 14.131183 | 14.721789 | 34.85812 |
| bily_kriz | 3 | 2012 | Picea abies | piab | 2500 | 1268 | 18.269222 | 17.926183 | 19.217967 | 13.517350 | 14.435891 | 33.23910 |
| bily_kriz | 3 | 2013 | Picea abies | piab | 2500 | 1256 | 18.601908 | 18.249363 | 19.574279 | 13.769745 | 14.699054 | 34.13458 |
| bily_kriz | 3 | 2014 | Picea abies | piab | 2500 | 1256 | 19.090841 | 18.723248 | 20.104355 | 14.059873 | 15.011682 | 35.95255 |
| bily_kriz | 3 | 2015 | Picea abies | piab | 2500 | 1252 | 19.387417 | 18.991693 | 20.465280 | 14.233227 | 15.263984 | 36.96018 |
data <-summarizeData(dataset = "CLIMATE_LOCAL", location = "bily_kriz")
kable(data, row.names = F)| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| bily_kriz | 3 | 2000 | 13.530145 | 8.536865 | 4.102271 | 1490.324 | 79.93809 | 912.7901 | 370604.5 | 2.350770 |
| bily_kriz | 3 | 2001 | 12.416737 | 7.674437 | 3.716715 | 1567.342 | 82.74661 | 912.3483 | 341850.8 | 2.474911 |
| bily_kriz | 3 | 2002 | 12.978551 | 8.296474 | 4.418110 | 1378.978 | 86.42986 | 913.0215 | 375278.4 | 2.198978 |
| bily_kriz | 3 | 2003 | 11.091126 | 6.161538 | 2.349707 | 1004.007 | 72.76064 | 914.4979 | 405381.0 | 1.980277 |
| bily_kriz | 3 | 2004 | 12.281959 | 7.683303 | 3.645454 | 1651.989 | 88.84459 | 912.8626 | 367439.9 | 2.254436 |
| bily_kriz | 3 | 2005 | 9.310364 | 5.930202 | 3.031704 | 1505.717 | 80.06642 | 913.9712 | 387422.4 | 1.945468 |
| bily_kriz | 3 | 2006 | 10.399436 | 6.877683 | 3.871940 | 1394.874 | 81.55814 | 914.3021 | 394615.9 | 2.022121 |
| bily_kriz | 3 | 2007 | 10.967189 | 7.566738 | 4.421340 | 1750.245 | 81.74537 | 911.7648 | 379212.4 | 2.066813 |
| bily_kriz | 3 | 2008 | 10.537101 | 7.484678 | 4.652052 | 1167.563 | 83.80125 | 913.1897 | 387168.4 | 2.404200 |
For several forcing datasets and/or forcing conditions
data <-summarizeData(dataset = "CLIMATE_ISIMIP2B", location = "bily_kriz")
kable(data, row.names = F)| forcingDataset | forcingConditions | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| GFDLESM2M | historical | 1861-2005 | 11.54169 | 6.930977 | 2.2231966 | 968.3358 | 74.28709 | 949.8743 | 391145.3 | 3.217614 |
| GFDLESM2M | piControl | 1661-2099 | 11.53763 | 6.811351 | 2.0799773 | 1040.6370 | 77.08760 | 949.7105 | 391288.6 | 2.560670 |
| GFDLESM2M | rcp2p6 | 2006-2099 | 12.89789 | 8.310183 | 3.5774033 | 1016.4696 | 73.81166 | 950.7912 | 397678.2 | 3.444829 |
| GFDLESM2M | rcp4p5 | 2006-2099 | 13.41545 | 8.748496 | 3.9531990 | 989.9021 | 73.18045 | 951.1007 | 401238.3 | 3.384756 |
| GFDLESM2M | rcp6p0 | 2006-2099 | 13.26510 | 8.651463 | 3.9025928 | 989.9244 | 73.30648 | 951.0994 | 397579.1 | 3.415027 |
| GFDLESM2M | rcp8p5 | 2006-2099 | 14.10468 | 9.202764 | 4.2316025 | 1000.7700 | 73.27579 | 951.3680 | 397358.8 | 3.196491 |
| HadGEM2ES | historical | 1861-2005 | 11.53644 | 6.750251 | 1.8246069 | 949.0047 | 73.46432 | 950.2473 | 401482.0 | 3.246359 |
| HadGEM2ES | piControl | 1661-2299 | 12.34029 | 7.400779 | 2.3149606 | 969.5199 | 72.05009 | 950.0176 | 428085.6 | 3.231371 |
| HadGEM2ES | rcp2p6 | 2006-2299 | 14.17385 | 9.440236 | 4.6355333 | 1086.7517 | 72.40671 | 950.0760 | 426495.5 | 3.226201 |
| HadGEM2ES | rcp4p5 | 2006-2099 | 15.18882 | 10.355945 | 5.4477872 | 1013.1172 | 69.91351 | 950.4404 | 428360.7 | 3.228131 |
| HadGEM2ES | rcp6p0 | 2006-2099 | 15.14908 | 10.342883 | 5.4691821 | 1020.1033 | 70.03207 | 950.4964 | 427706.2 | 3.250932 |
| HadGEM2ES | rcp8p5 | 2006-2099 | 16.51697 | 11.597719 | 6.6356322 | 990.1365 | 68.08624 | 950.7368 | 438959.7 | 3.271677 |
| IPSLCM5ALR | historical | 1861-2005 | 10.98010 | 6.358021 | 1.6019083 | 1026.9663 | 75.85932 | 949.5280 | 397736.8 | 3.260216 |
| IPSLCM5ALR | piControl | 1661-2299 | 10.43142 | 5.751357 | 0.8944435 | 1055.7788 | 76.61966 | 949.3137 | 414642.6 | 3.111507 |
| IPSLCM5ALR | rcp2p6 | 2006-2299 | 13.35131 | 8.822487 | 4.2216854 | 1097.7286 | 73.85492 | 949.7823 | 421470.1 | 3.215132 |
| IPSLCM5ALR | rcp4p5 | 2006-2299 | 14.95644 | 10.311434 | 5.6492760 | 1047.1603 | 72.04049 | 950.5808 | 426964.3 | 3.062641 |
| IPSLCM5ALR | rcp6p0 | 2006-2099 | 13.96568 | 9.406104 | 4.7833788 | 1044.1505 | 72.55214 | 950.1633 | 420093.3 | 3.147624 |
| IPSLCM5ALR | rcp8p5 | 2006-2299 | 20.89522 | 16.096453 | 11.2930703 | 939.4859 | 66.13040 | 951.0250 | 435453.7 | 3.019524 |
| MIROC5 | historical | 1861-2005 | 11.53099 | 6.838927 | 1.9740510 | 966.6290 | 73.72307 | 950.1136 | 398037.0 | 3.298318 |
| MIROC5 | piControl | 1661-2299 | 12.97621 | 7.789709 | 2.5460838 | 1000.4297 | 71.12007 | 949.7192 | 453618.2 | 3.090434 |
| MIROC5 | rcp2p6 | 2006-2299 | 14.38910 | 9.211597 | 3.9549275 | 1032.4024 | 69.66650 | 950.6783 | 459552.8 | 3.365197 |
| MIROC5 | rcp4p5 | 2006-2099 | 14.75842 | 9.597190 | 4.4397434 | 1072.1900 | 70.74752 | 950.7222 | 442917.9 | 3.084660 |
| MIROC5 | rcp6p0 | 2006-2099 | 14.54981 | 9.412531 | 4.2381155 | 1069.4153 | 70.59043 | 950.5556 | 445612.3 | 3.168073 |
| MIROC5 | rcp8p5 | 2006-2099 | 15.82312 | 10.560728 | 5.2869677 | 1067.6575 | 69.55227 | 951.0911 | 454292.8 | 3.135116 |
For only one forcing dataset and forcing conditions
data <-summarizeData(dataset = "CLIMATE_ISIMIP2B_IPSLCM5ALR_historical", location = "bily_kriz")
kable(head(data), row.names = F)| site | site_id | year | tmax_degC | tmean_degC | tmin_degC | p_mm | relhum_percent | airpress_hPa | rad_Jcm2day | wind_ms |
|---|---|---|---|---|---|---|---|---|---|---|
| bily_kriz | 3 | 1861 | 11.998002 | 7.181227 | 2.1512612 | 1042.1062 | 75.13935 | 949.7655 | 430170.8 | 2.915605 |
| bily_kriz | 3 | 1862 | 8.601109 | 4.253349 | -0.2935495 | 992.2576 | 77.44364 | 948.6095 | 380275.5 | 3.273053 |
| bily_kriz | 3 | 1863 | 10.811001 | 6.334792 | 1.6841171 | 1075.9658 | 77.80697 | 948.7587 | 396601.6 | 3.161322 |
| bily_kriz | 3 | 1864 | 9.958074 | 4.968835 | -0.2399347 | 969.7612 | 76.24269 | 949.5919 | 438632.8 | 3.278511 |
| bily_kriz | 3 | 1865 | 11.024017 | 6.382603 | 1.6215635 | 1017.4756 | 75.40079 | 948.5346 | 422913.8 | 2.987183 |
| bily_kriz | 3 | 1866 | 12.541975 | 7.771579 | 2.9999504 | 1015.3766 | 73.85415 | 950.6490 | 421603.8 | 3.134281 |
The package functions are designed to ease the access to database by providing an R interface. However, if you feel confident with SQL syntaxis, you are ready to perfom much advanced queries. The function queryDB, allows to perform self-defined queries,
A basic query is SELECT FROM TABLE*, which will return all variables in the table.
overview <- queryDB("SELECT * FROM OVERVIEW")
tree <- queryDB("SELECT * FROM TREE")More advanced queries include defining variables and conditions as the example below
myQuery <- queryDB("SELECT date, tmax_degC FROM CLIMATE_LOCAL WHERE tmax_degC > 20 AND site == 'hyytiala' AND year == 2010")Besides, the database contains several views with ready-made queries (check browseData(“DATASETS”)), so that the two statments below are equivalent
myQuery <- queryDB("SELECT date, tmax_degC FROM CLIMATE_LOCAL WHERE site == 'hyytiala'")
myQuery <- queryDB("SELECT date, tmax_degC FROM CLIMATE_LOCAL_12")This also works with tree species
myQuery <- queryDB("SELECT * FROM TREE WHERE species == 'Picea abies'")
myQuery <- queryDB("SELECT * FROM TREE_piab")Hint: Check the last section for furhter information on SQL syntaxis.
Both functions rely on several utility functions. Regardless of the requested data with the plotData or the getData, the following steps take place:
Create and validate the SQL query (parseQuery.R). Creates a query item and validates it.
Check the requested variables (parseVariables.R) The requested variables are proven for spelling mistakes. This is step is not included in the parseQuery function because it does not affect the query. All variables for the requested dataset and location are download. Once download, only the selected variables will be displayed.
Fetch the Query and download the data (fetchQuery.R) If previous steps were succesfull, the data will be downloaded.
Format data (formatData.R) This function will transform the queried data into a dataframe, or list of dataframes depending on what was requested (see above examples). It relies on other functions such as
To access the database you can use an SQLite database explorer such as SQLiteStudio. Such software allows to visualize and download through an interface as well as writing SQL statements. Further information on SQLite chracterisctics can be found at the SQLite website. Besides, there are plenty of resources about using SQL like this one